This is our poster planned to be presented at APS March.
We proposed a method to calculate transition amplitudes between two orthogonal states on NISQ devices.
This work is a joint research between QunaSys and Mitsubishi Chemical Corporation.
Calculating transition amplitudes by variational quantum eigensolversTenninYan
ü VQD can accurately simulate excited states on a quantum computer but cannot calculate transition amplitudes between states
ü We proposed a method to calculate transition amplitudes between two orthogonal states obtained from VQD in a hardware-friendly manner using variational algorithms
ü This allows calculation of important physical properties like oscillator strengths that require transition amplitudes, expanding the capabilities of VQD for excited state simulations on NISQ devices
This document describes a lattice QCD computation of the proton isovector scalar charge (gs) at two unphysical quark masses. Jackknife statistics and all-mode averaging techniques are used to calculate correlation functions from Monte Carlo simulations, which are then fitted and extrapolated to obtain gs at the physical quark mass. Results show the unrenormalized values of gs computed at quark masses of 0.0042 and 0.0015, with the goal of constraining gs through precise theoretical calculations needed to interpret experimental measurements.
MET Energy Resolution in Pileup Minimum Bias Events using 7 TeV LHC Datakuhanw
This document summarizes a study of missing transverse energy (MET) resolution in minimum bias data collected by the ATLAS detector at the LHC. It finds that the MET resolution decreases with increasing numbers of proton-proton interactions (pileup) in an event. Specifically:
1) MET resolution is measured as a function of the total transverse energy in minimum bias events with 1 vertex.
2) MET resolution is also measured for events with 2, 3, and 4 vertices and found to decrease with increasing numbers of vertices.
3) Comparisons of skimmed and unskimmed data sets show inconsistencies, suggesting issues with the event selection cuts used to isolate pileup events. Further work is
Presentation @ KIAS pheno group end year meeting: 2012.12.20Yoshitaro Takaesu
This document discusses the sensitivity of a future medium-baseline reactor neutrino experiment to determine the neutrino mass hierarchy.
1) For an exposure of 20 GW thermal power, 5 kiloton detector mass, and 5 years of running, an optimal baseline length of around 50 km is required. The energy resolution needs to be less than 3% statistical error and less than 1% systematic error.
2) With these parameters, the experiment could measure neutrino oscillation parameters with 0.5% level of accuracy.
3) The study provides the minimum requirements for the energy resolution to determine the mass hierarchy. More realistic studies must account for factors like the distribution of reactors within 100 km of the far detector.
The document discusses the QTPIE model for modeling electrostatics in water. It summarizes the key aspects of the QTPIE model, including defining charge-transfer variables and attenuated electronegativity to model polarization. It also discusses challenges in numerically solving the QTPIE equations and compares calculated dipole moments and polarizabilities to ab initio results. The QTPIE model is able to reproduce ab initio dipole moments but underestimates polarizabilities due to a potential error in the polarizability formula.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
The document describes the calibration of the calorimeter for the DVCS experiment in Hall A using π0 events. It discusses two methods for calibration: 1) elastic calibration using ep→e'p' events and 2) π0 calibration using ep→e'p'π0→e'p'γγ events. The π0 calibration involves minimizing the difference between theoretical and measured photon energies using calibration coefficients. Iterating the process allows the coefficients to converge. Applying the calibrated coefficients to data groups improves the agreement of the invariant mass and missing mass distributions with expected values. The calibration is effective and will be continued with more data.
The document discusses density functional theory (DFT) and its implementation in the VASP software. It explains key concepts like the Kohn-Sham approach for approximating the many-body Schrodinger equation and the use of pseudopotentials and plane wave basis sets. It also summarizes some example calculations done in VASP like determining the binding energy of O2, equilibrium lattice constant of Cu, and band structures of Si and graphene. Key input and output files of VASP are also outlined.
Calculating transition amplitudes by variational quantum eigensolversTenninYan
ü VQD can accurately simulate excited states on a quantum computer but cannot calculate transition amplitudes between states
ü We proposed a method to calculate transition amplitudes between two orthogonal states obtained from VQD in a hardware-friendly manner using variational algorithms
ü This allows calculation of important physical properties like oscillator strengths that require transition amplitudes, expanding the capabilities of VQD for excited state simulations on NISQ devices
This document describes a lattice QCD computation of the proton isovector scalar charge (gs) at two unphysical quark masses. Jackknife statistics and all-mode averaging techniques are used to calculate correlation functions from Monte Carlo simulations, which are then fitted and extrapolated to obtain gs at the physical quark mass. Results show the unrenormalized values of gs computed at quark masses of 0.0042 and 0.0015, with the goal of constraining gs through precise theoretical calculations needed to interpret experimental measurements.
MET Energy Resolution in Pileup Minimum Bias Events using 7 TeV LHC Datakuhanw
This document summarizes a study of missing transverse energy (MET) resolution in minimum bias data collected by the ATLAS detector at the LHC. It finds that the MET resolution decreases with increasing numbers of proton-proton interactions (pileup) in an event. Specifically:
1) MET resolution is measured as a function of the total transverse energy in minimum bias events with 1 vertex.
2) MET resolution is also measured for events with 2, 3, and 4 vertices and found to decrease with increasing numbers of vertices.
3) Comparisons of skimmed and unskimmed data sets show inconsistencies, suggesting issues with the event selection cuts used to isolate pileup events. Further work is
Presentation @ KIAS pheno group end year meeting: 2012.12.20Yoshitaro Takaesu
This document discusses the sensitivity of a future medium-baseline reactor neutrino experiment to determine the neutrino mass hierarchy.
1) For an exposure of 20 GW thermal power, 5 kiloton detector mass, and 5 years of running, an optimal baseline length of around 50 km is required. The energy resolution needs to be less than 3% statistical error and less than 1% systematic error.
2) With these parameters, the experiment could measure neutrino oscillation parameters with 0.5% level of accuracy.
3) The study provides the minimum requirements for the energy resolution to determine the mass hierarchy. More realistic studies must account for factors like the distribution of reactors within 100 km of the far detector.
The document discusses the QTPIE model for modeling electrostatics in water. It summarizes the key aspects of the QTPIE model, including defining charge-transfer variables and attenuated electronegativity to model polarization. It also discusses challenges in numerically solving the QTPIE equations and compares calculated dipole moments and polarizabilities to ab initio results. The QTPIE model is able to reproduce ab initio dipole moments but underestimates polarizabilities due to a potential error in the polarizability formula.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
The document describes the calibration of the calorimeter for the DVCS experiment in Hall A using π0 events. It discusses two methods for calibration: 1) elastic calibration using ep→e'p' events and 2) π0 calibration using ep→e'p'π0→e'p'γγ events. The π0 calibration involves minimizing the difference between theoretical and measured photon energies using calibration coefficients. Iterating the process allows the coefficients to converge. Applying the calibrated coefficients to data groups improves the agreement of the invariant mass and missing mass distributions with expected values. The calibration is effective and will be continued with more data.
The document discusses density functional theory (DFT) and its implementation in the VASP software. It explains key concepts like the Kohn-Sham approach for approximating the many-body Schrodinger equation and the use of pseudopotentials and plane wave basis sets. It also summarizes some example calculations done in VASP like determining the binding energy of O2, equilibrium lattice constant of Cu, and band structures of Si and graphene. Key input and output files of VASP are also outlined.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
Quantum Anharmonic Oscillator, A Computational Approachijceronline
What is anharmonicity? What happens to the energy levels of an anharmonic oscillator? What is dissociation energy? Many such questions can be answered by the computational method. The computational methods used for solving the second degree differential equation (Schroedinger's equation) is by Runge- Kutta fourth order method using Microsoft-Excel. For anharmonic oscillator, the accuracy of the results is fairly good.
1) Neutron evaporation spectra were measured from the 185Re* compound nucleus populated via the 4He + 181Ta reaction at excitation energies of 27 and 37 MeV.
2) Statistical model analysis was performed to extract the inverse level density parameter (k) at different angular momenta corresponding to different γ-multiplicities.
3) It was observed that k remained nearly constant for different angular momenta for this heavy (A~180) nuclear system, unlike what was observed in previous measurements of lighter systems which showed a decrease in k with increasing angular momentum.
Molecular dynamics (MD) is a computer simulation technique used to model physical movements of atoms and molecules over time. MD simulations involve numerically solving classical equations of motion to simulate interactions between atoms at different scales, from molecular to human to planetary. While MD can provide detailed atomic-level insights, it has limitations such as potential issues with numerical integration accuracy at small time steps.
PFN Summer Internship 2021 / Kohei Shinohara: Charge Transfer Modeling in Neu...Preferred Networks
The document discusses techniques for modeling charge transfer in neural network potentials (NNPs) for materials simulation. It presents a graph neural network (GNN) baseline architecture called NequIP that predicts short-range atomic energies. Additional techniques are explored to model long-range electrostatic interactions, including adding an electrostatic correction term (Eele) using Ewald summation and using charge equilibration (Qeq) to predict atomic charges. Results show that while Qeq improves charge prediction accuracy, the baseline GNN achieves comparable or better overall accuracy in most datasets tested, possibly because the GNN can already learn electrostatic effects. The document also discusses PyTorch implementations of Ewald summation and Qeq for efficient evaluation.
[02] Quantum Error Correction for BeginnersShin Nishio
This document discusses quantum error correction for beginners. It introduces key concepts like the 4-qubit error detecting code, stabilizer formalism, and the 7-qubit Steane code for error correction. It also covers how to digitize quantum errors using ancilla qubits and parity measurements to determine the error syndrome. Environmental noise is modeled using the Lindblad formalism and error correction circuits are presented.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
Three events occur:
1) An airplane carrying an atomic clock flies back and forth for 15 hours at an average speed of 140 m/s.
2) The time on the clock is compared to an atomic clock kept on the ground.
3) Using time dilation, the elapsed time on the ground clock is calculated to be 9.5 nanoseconds longer than the time on the airplane clock.
1. The document discusses gamma-ray pre-equilibrium emission from 40Ca+48Ca and 40Ca+46Ti collisions at energies ranging from 10-25 MeV/A.
2. CoMD calculations are able to provide a unified description of pre-equilibrium phenomena by evaluating the average fluctuating dynamics.
3. The parameter φch, which represents the ratio between average and fluctuating dynamics, is found to change rapidly when multifragmentation processes occur, indicating a change in the fundamental properties of hot reaction sources.
This document discusses modeling physical systems using transfer functions. It provides examples of finding the transfer function of electrical systems using Kirchhoff's voltage law and taking the Laplace transform. It also compares electrical systems to mechanical systems, showing how elements like inductance, resistance, and capacitance correspond to mass, damping, and springs. Finally, it discusses modeling gear systems as mechanical impedances that can be reflected through the gear train by multiplying the impedance by the gear ratio.
This document summarizes a research project that involves building a toy model of particle collisions using C++ and ROOT. The model simulates collisions by sampling probability distributions measured in real collisions. It generates particles and assigns them properties like momentum and angle. It also models physical processes like jet production and elliptic flow. The goal is to study how properties of particles like jets are affected by a quark-gluon plasma and vice versa. The model allows tuning parameters to learn about collision interactions and switch physics processes on or off.
This document provides an overview of the WIEN2k software package for calculating crystal properties using the augmented plane wave plus local orbital (APW+lo) method. It summarizes the history and development of APW-based methods, describes the program structure and usage of WIEN2k, and highlights some applications including calculations of phase transitions, crystal structures, total energies, forces and structural relaxations. The document also discusses international collaborations and the use of WIEN2k as a benchmark for electronic structure calculations.
This presentation is the introduction to Density Functional Theory, an essential computational approach used by Physicist and Quantum Chemist to study Solid State matter.
This document provides an overview of the WIEN2k software package, which is an augmented plane wave plus local orbital program for calculating crystal properties. It discusses the program structure, inputs and outputs, k-point generation, the self-consistent field cycle, and how to calculate various properties like band structures, densities of states, and partial charges.
The Hodgkin-Huxley model is a mathematical model that describes the generation and propagation of electrical signals in neurons. It consists of nonlinear differential equations that describe the voltage-dependent ionic currents that flow across the neuronal membrane. The model includes separate voltage-gated ion channels for sodium and potassium ions that allow the currents to change over time based on the membrane potential. The model can be used to simulate the membrane potential over time in response to an applied electric current stimulus.
Methods available in WIEN2k for the treatment of exchange and correlation ef...ABDERRAHMANE REGGAD
This document summarizes methods available in the WIEN2k software for treating exchange and correlation effects beyond semilocal density functional theory. It discusses the semilocal generalized gradient approximation and meta-GGA functionals, the modified Becke-Johnson potential for improving band gaps, dispersion correction methods, and on-site corrections like DFT+U and hybrid functionals for strongly correlated materials. Input parameters and keywords for selecting these methods in the WIEN2k code are also outlined.
The document describes a min-cut based algorithm for power-aware scheduling that aims to minimize total leakage power while satisfying timing and resource constraints. It initializes all operations to high threshold voltage. If timing constraints are violated, it uses min-cut to select operations to switch to low threshold voltage. It then performs modified force-directed scheduling, checking resource constraints and using min-cut on a mobility overlap graph to select operations to switch voltages if constraints are violated. The output satisfies both timing and resource constraints with minimum leakage power.
Density functional theory (DFT) is a computational quantum mechanics modeling method used in physics and chemistry to investigate the electronic structure of molecules and condensed phases. DFT was awarded the 1998 Nobel Prize in Chemistry. DFT approximates the complex quantum many-body problem by considering electron density as a basic variable instead of wave functions. Common approximations include the local density approximation (LDA) and generalized gradient approximation (GGA), which include additional information about the density gradient. DFT is widely used today due to its good accuracy and scaling better than other computational methods.
Localized Electrons with Wien2k
LDA+U, EECE, MLWF, DMFT
Elias Assmann
Vienna University of Technology, Institute for Solid State Physics
WIEN2013@PSU, Aug 14
THE RESEARCH OF QUANTUM PHASE ESTIMATION ALGORITHMIJCSEA Journal
This document discusses phase estimation in quantum computing. It begins by introducing quantum Fourier transforms and how they are important for algorithms like Shor's algorithm. It then describes the phase estimation algorithm in detail, including how it uses two registers to estimate the phase of a quantum state and how the inverse quantum Fourier transform improves this estimate. Simulation results are presented that show the probability distribution of the estimated phase converging to the true value and how the probability of success increases with more qubits while computational costs rise polynomially. The paper concludes that the optimal number of qubits balances high success probability and low costs for phase estimation.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
Quantum Anharmonic Oscillator, A Computational Approachijceronline
What is anharmonicity? What happens to the energy levels of an anharmonic oscillator? What is dissociation energy? Many such questions can be answered by the computational method. The computational methods used for solving the second degree differential equation (Schroedinger's equation) is by Runge- Kutta fourth order method using Microsoft-Excel. For anharmonic oscillator, the accuracy of the results is fairly good.
1) Neutron evaporation spectra were measured from the 185Re* compound nucleus populated via the 4He + 181Ta reaction at excitation energies of 27 and 37 MeV.
2) Statistical model analysis was performed to extract the inverse level density parameter (k) at different angular momenta corresponding to different γ-multiplicities.
3) It was observed that k remained nearly constant for different angular momenta for this heavy (A~180) nuclear system, unlike what was observed in previous measurements of lighter systems which showed a decrease in k with increasing angular momentum.
Molecular dynamics (MD) is a computer simulation technique used to model physical movements of atoms and molecules over time. MD simulations involve numerically solving classical equations of motion to simulate interactions between atoms at different scales, from molecular to human to planetary. While MD can provide detailed atomic-level insights, it has limitations such as potential issues with numerical integration accuracy at small time steps.
PFN Summer Internship 2021 / Kohei Shinohara: Charge Transfer Modeling in Neu...Preferred Networks
The document discusses techniques for modeling charge transfer in neural network potentials (NNPs) for materials simulation. It presents a graph neural network (GNN) baseline architecture called NequIP that predicts short-range atomic energies. Additional techniques are explored to model long-range electrostatic interactions, including adding an electrostatic correction term (Eele) using Ewald summation and using charge equilibration (Qeq) to predict atomic charges. Results show that while Qeq improves charge prediction accuracy, the baseline GNN achieves comparable or better overall accuracy in most datasets tested, possibly because the GNN can already learn electrostatic effects. The document also discusses PyTorch implementations of Ewald summation and Qeq for efficient evaluation.
[02] Quantum Error Correction for BeginnersShin Nishio
This document discusses quantum error correction for beginners. It introduces key concepts like the 4-qubit error detecting code, stabilizer formalism, and the 7-qubit Steane code for error correction. It also covers how to digitize quantum errors using ancilla qubits and parity measurements to determine the error syndrome. Environmental noise is modeled using the Lindblad formalism and error correction circuits are presented.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
Three events occur:
1) An airplane carrying an atomic clock flies back and forth for 15 hours at an average speed of 140 m/s.
2) The time on the clock is compared to an atomic clock kept on the ground.
3) Using time dilation, the elapsed time on the ground clock is calculated to be 9.5 nanoseconds longer than the time on the airplane clock.
1. The document discusses gamma-ray pre-equilibrium emission from 40Ca+48Ca and 40Ca+46Ti collisions at energies ranging from 10-25 MeV/A.
2. CoMD calculations are able to provide a unified description of pre-equilibrium phenomena by evaluating the average fluctuating dynamics.
3. The parameter φch, which represents the ratio between average and fluctuating dynamics, is found to change rapidly when multifragmentation processes occur, indicating a change in the fundamental properties of hot reaction sources.
This document discusses modeling physical systems using transfer functions. It provides examples of finding the transfer function of electrical systems using Kirchhoff's voltage law and taking the Laplace transform. It also compares electrical systems to mechanical systems, showing how elements like inductance, resistance, and capacitance correspond to mass, damping, and springs. Finally, it discusses modeling gear systems as mechanical impedances that can be reflected through the gear train by multiplying the impedance by the gear ratio.
This document summarizes a research project that involves building a toy model of particle collisions using C++ and ROOT. The model simulates collisions by sampling probability distributions measured in real collisions. It generates particles and assigns them properties like momentum and angle. It also models physical processes like jet production and elliptic flow. The goal is to study how properties of particles like jets are affected by a quark-gluon plasma and vice versa. The model allows tuning parameters to learn about collision interactions and switch physics processes on or off.
This document provides an overview of the WIEN2k software package for calculating crystal properties using the augmented plane wave plus local orbital (APW+lo) method. It summarizes the history and development of APW-based methods, describes the program structure and usage of WIEN2k, and highlights some applications including calculations of phase transitions, crystal structures, total energies, forces and structural relaxations. The document also discusses international collaborations and the use of WIEN2k as a benchmark for electronic structure calculations.
This presentation is the introduction to Density Functional Theory, an essential computational approach used by Physicist and Quantum Chemist to study Solid State matter.
This document provides an overview of the WIEN2k software package, which is an augmented plane wave plus local orbital program for calculating crystal properties. It discusses the program structure, inputs and outputs, k-point generation, the self-consistent field cycle, and how to calculate various properties like band structures, densities of states, and partial charges.
The Hodgkin-Huxley model is a mathematical model that describes the generation and propagation of electrical signals in neurons. It consists of nonlinear differential equations that describe the voltage-dependent ionic currents that flow across the neuronal membrane. The model includes separate voltage-gated ion channels for sodium and potassium ions that allow the currents to change over time based on the membrane potential. The model can be used to simulate the membrane potential over time in response to an applied electric current stimulus.
Methods available in WIEN2k for the treatment of exchange and correlation ef...ABDERRAHMANE REGGAD
This document summarizes methods available in the WIEN2k software for treating exchange and correlation effects beyond semilocal density functional theory. It discusses the semilocal generalized gradient approximation and meta-GGA functionals, the modified Becke-Johnson potential for improving band gaps, dispersion correction methods, and on-site corrections like DFT+U and hybrid functionals for strongly correlated materials. Input parameters and keywords for selecting these methods in the WIEN2k code are also outlined.
The document describes a min-cut based algorithm for power-aware scheduling that aims to minimize total leakage power while satisfying timing and resource constraints. It initializes all operations to high threshold voltage. If timing constraints are violated, it uses min-cut to select operations to switch to low threshold voltage. It then performs modified force-directed scheduling, checking resource constraints and using min-cut on a mobility overlap graph to select operations to switch voltages if constraints are violated. The output satisfies both timing and resource constraints with minimum leakage power.
Density functional theory (DFT) is a computational quantum mechanics modeling method used in physics and chemistry to investigate the electronic structure of molecules and condensed phases. DFT was awarded the 1998 Nobel Prize in Chemistry. DFT approximates the complex quantum many-body problem by considering electron density as a basic variable instead of wave functions. Common approximations include the local density approximation (LDA) and generalized gradient approximation (GGA), which include additional information about the density gradient. DFT is widely used today due to its good accuracy and scaling better than other computational methods.
Localized Electrons with Wien2k
LDA+U, EECE, MLWF, DMFT
Elias Assmann
Vienna University of Technology, Institute for Solid State Physics
WIEN2013@PSU, Aug 14
THE RESEARCH OF QUANTUM PHASE ESTIMATION ALGORITHMIJCSEA Journal
This document discusses phase estimation in quantum computing. It begins by introducing quantum Fourier transforms and how they are important for algorithms like Shor's algorithm. It then describes the phase estimation algorithm in detail, including how it uses two registers to estimate the phase of a quantum state and how the inverse quantum Fourier transform improves this estimate. Simulation results are presented that show the probability distribution of the estimated phase converging to the true value and how the probability of success increases with more qubits while computational costs rise polynomially. The paper concludes that the optimal number of qubits balances high success probability and low costs for phase estimation.
COMPUTATIONAL PERFORMANCE OF QUANTUM PHASE ESTIMATION ALGORITHMcsitconf
A quantum computation problem is discussed in this paper. Many new features that make
quantum computation superior to classical computation can be attributed to quantum coherence
effect, which depends on the phase of quantum coherent state. Quantum Fourier transform
algorithm, the most commonly used algorithm, is introduced. And one of its most important
applications, phase estimation of quantum state based on quantum Fourier transform, is
presented in details. The flow of phase estimation algorithm and the quantum circuit model are
shown. And the error of the output phase value, as well as the probability of measurement, is
analysed. The probability distribution of the measuring result of phase value is presented and
the computational efficiency is discussed.
COMPUTATIONAL PERFORMANCE OF QUANTUM PHASE ESTIMATION ALGORITHMcscpconf
A quantum computation problem is discussed in this paper. Many new features that make quantum computation superior to classical computation can be attributed to quantum coherence
effect, which depends on the phase of quantum coherent state. Quantum Fourier transform algorithm, the most commonly used algorithm, is introduced. And one of its most important
applications, phase estimation of quantum state based on quantum Fourier transform, is presented in details. The flow of phase estimation algorithm and the quantum circuit model are
shown. And the error of the output phase value, as well as the probability of measurement, is analysed. The probability distribution of the measuring result of phase value is presented and the computational efficiency is discussed.
Engineering Research Publication
Best International Journals, High Impact Journals,
International Journal of Engineering & Technical Research
ISSN : 2321-0869 (O) 2454-4698 (P)
www.erpublication.org
ER Publication,
IJETR, IJMCTR,
Journals,
International Journals,
High Impact Journals,
Monthly Journal,
Good quality Journals,
Research,
Research Papers,
Research Article,
Free Journals, Open access Journals,
erpublication.org,
Engineering Journal,
Science Journals,
This document describes the construction and selection of single sampling quick switching variables systems for given control limits that involve minimum sum of risks. It provides the procedure for finding the single sampling quick switching variables system that has the minimum sum of producer's and consumer's risk for a specified acceptable quality level and limiting quality level. A table is constructed that can be used to select a quick switching variables sampling system for given values of AQL and LQL that has the minimum sum of risks. The document also discusses how to design a quick switching variables sampling system with an unknown standard deviation that involves minimum sum of risks.
This document describes the construction and selection of single sampling quick switching variables systems for given control limits that involve minimum sum of risks. It provides the procedure for finding the single sampling quick switching variables system that has the minimum sum of producer's and consumer's risk for a specified acceptable quality level and limiting quality level. A table is constructed that can be used to select a quick switching variables sampling system for given values of AQL and LQL that has the minimum sum of risks. The document also discusses how to design a quick switching variables sampling system with an unknown standard deviation that involves minimum sum of risks.
Simulation, bifurcation, and stability analysis of a SEPIC converter control...IJECEIAES
This article presents some results of SEPIC converter dynamics when controlled by a center pulse width modulator controller (CPWM). The duty cycle is calculated using the ZAD (Zero Average Dynamics) technique. Results obtained using this technique show a great variety of non-linear phenomena such as bifurcations and chaos, as parameters associated with the switching surface. These phenomena have been studied in the present paper in numerical form. Simulations were done in MATLAB.
1) The document describes using genetic algorithms to tune PID, state variable feedback, and LQR controllers for balancing an inverted pendulum on a cart.
2) It presents the mathematical model of the inverted pendulum system and linearizes the model.
3) PID, state variable feedback, and LQR controllers are designed for the system. The controller parameters are then tuned using a genetic algorithm to minimize error.
4) Simulation results show the genetic algorithm approach improves rise time and reduces overshoot compared to controllers without genetic algorithm tuning.
This document describes a new rotor balancing method that uses an optimization technique called genetic algorithm to calculate correction masses without requiring test runs. It introduces the new method and compares it to the traditional influence coefficient method. The new method calculates theoretical unbalance responses and measures original unbalance vibrations to optimize the correction masses using genetic algorithm in order to minimize residual vibrations at selected speeds and locations. Both simulation and experimental results show the new method can effectively reduce residual vibrations.
Optical sensing techniques and signal processing 5ali alavi
This document discusses frequency analysis of optical imaging systems. It begins with a generalized treatment of imaging systems and defines the amplitude transfer function and impulse response. For coherent systems, the image is a convolution of the ideal image and amplitude impulse response. For incoherent systems, the image intensity is a convolution with the intensity impulse response, which is the squared amplitude impulse response. It then examines the frequency responses of coherent and incoherent systems, defining the amplitude transfer function and optical transfer function respectively.
Model Order Reduction of an ISLANDED MICROGRID using Single Perturbation, Dir...IRJET Journal
This document discusses using model order reduction techniques to simplify the model of an islanded microgrid system from 6th order to lower order approximations. It evaluates three methods: single perturbation, direct truncation, and particle swarm optimization. Single perturbation and direct truncation are used to reduce the model to 4th order, while particle swarm optimization further reduces it to 2nd order. The responses of the reduced models are compared to the original 6th order model, showing that even the 2nd order model reduced using particle swarm optimization provides an improved response.
This document summarizes the calculation of total electron impact cross sections for HCl and HBr over a wide energy range from 0.1 eV to 2 keV. Two formalisms were required to cover this range - the R-matrix method was used from 0.01 eV to the ionization threshold, and the SCOP (Spherical Complex Optical Potential) method was used from the ionization threshold to 2 keV. The results from the two methods were consistent at the transition energy and showed good agreement with available experimental data. Total cross sections contain information on various scattering processes and this methodology could be applied to calculate cross sections for other molecular systems where experiments are difficult.
This document summarizes a research paper that proposes a control strategy for a three-phase grid-connected photovoltaic system using instantaneous reactive power theory (p-q theory). The system uses maximum power point tracking to extract maximum power from the photovoltaic array. The control strategy aims to supply both active and reactive power to the grid from the PV inverter. When sunlight is available, the system supplies active power to the grid while compensating for reactive power loads. When there is no sunlight, the inverter only supplies reactive power to compensate loads. The p-q theory allows for control of both active and reactive power without using a phase-locked loop, simplifying the system implementation and calculations.
Extraction of photovoltaic generator parameters through combination of an an...IJECEIAES
In the present work, we propose an improved method based on a combination of an analytical and iterative approach to extract the photovoltaic (PV) module parameters using the measured current-voltage characteristics and the simple diode model. First, we calculate the series resistance using a set of analytical formulas for the base values of the three current-voltage curves. Then, the three other parameters are analytically expressed as functions of serial resistance and ideality factor based on the linear least-squares method. Finally, the ideality factor is calculated applying an iterative algorithm to minimize the normalized root mean square error (NRMSE) value. The proposed method was validated with a real experimental set of two PV generators, which showed the best fit to the I-V curve. Moreover, the proposed method needs only the initial value of the ideality factor.
1) The document discusses curvelet transformation and its application to object tracking. Curvelet transformation is a multiscale directional transform that can efficiently represent objects with curved edges using only a small number of coefficients.
2) It describes the stages of curvelet transformation including sub-band decomposition, smooth partitioning, renormalization, and ridgelet analysis. It also discusses the fast discrete curvelet transform implementation using unequally spaced fast Fourier transforms.
3) The proposed algorithm calculates the curvelet coefficients of frames to track objects based on the difference in curvelet energy between frames. Preliminary results on sample video frames are shown to demonstrate the calculation of curvelet coefficients.
A chaotic particle swarm optimization (cpso) algorithm for solving optimal re...Alexander Decker
This document presents a chaotic particle swarm optimization (CPSO) algorithm for solving the multi-objective reactive power dispatch problem. The CPSO algorithm aims to avoid premature convergence by fusing ergodic and stochastic chaos. It formulates reactive power dispatch as an optimization problem with two objectives: minimizing real power losses and maximizing static voltage stability margin. The CPSO is tested on the IEEE 30 bus system and is shown to reduce power losses and maximize voltage stability more than other algorithms.
A chaotic particle swarm optimization (cpso) algorithm for solving optimal re...Alexander Decker
This document presents a chaotic particle swarm optimization (CPSO) algorithm for solving the multi-objective reactive power dispatch problem. The CPSO algorithm aims to avoid premature convergence by fusing ergodic and stochastic chaos. It formulates reactive power dispatch as an optimization problem with two objectives: minimizing real power losses and maximizing static voltage stability margin. The CPSO is tested on the IEEE 30 bus system and is shown to reduce power losses and maximize voltage stability more than other algorithms.
Evaluation of Vibrational Behavior for A System With TwoDegree-of-Freedom Und...IJERA Editor
Analysis of the vibrational behavior of a system is extremely important, both for the evaluation of operating conditions, as performance and safety reason. The studies on vibration concentrate their efforts on understanding the natural phenomena and the development of mathematical theories to describe the vibration of physical systems. The purpose of this study is to evaluate an undamped system with two-degrees-of-freedom and demonstrate by comparing the results obtained in the experimental, numerical and analytical modeling the characteristics that describe a structure in terms of its natural characteristics. The experiment was conducted in PUC-MG where the data were acquired to determine the natural frequency of the system. We also developed an experimental test bed for vibrations studies for graduate and undergraduate students. In analytical modeling were represented all the important aspects of the system. In order, to obtain the mathematical equations is used MATLAB to solve the equations that describe the characteristics of system behavior. For the simulation and numerical solution of the system, we use a computational tool ABAQUS. The comparison between the results obtained in the experiment and the numerical was considered satisfactory using the exact solutions. This study demonstrates that calculation of the adopted conditions on a system with two-degrees-of-freedom can be applied to complex systems with many degrees of freedom and proved to be an excellent learning tool for determining the modal analysis of a system. One of the goals is to use the developed platform to be used as a didactical experiment system for vibration and modal analysis classes at PUC Minas. The idea is to give the students an opportunity to test, play, calculate and confirm the results in vibration and modal analysis in a low-cost platform
Similar to Calculating transition amplitudes by variational quantum eigensolvers (20)
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3Data Hops
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Calculating transition amplitudes by variational quantum eigensolvers
1. 𝑅 [Å] 𝑅 [Å]𝑅 [Å]
Calculating transition amplitudes by variational quantum eigensolvers
C71.00241 : Implementation of excited state energy and its analytical derivatives for photochemical reaction simulations on NISQ devices
Yohei Ibe1, Yuya O. Nakagawa1,Takahiro Yamamoto1, Kosuke Mitarai2, 1, Tennin Yan1, Qi Gao3, Takao Kobayashi3
1QunaSys Inc., 2Osaka University, 3Mitsubishi Chemical Corp.
1. Methods for excited states based on VQE
Simulating excited states of molecules is of great concern in photophysics & photochemistry,
and there are several methods based on a quantum algorithm, Variational Quantum Eigensolver (VQE)
Among them, VQD method is remarkably accurate; however, there are no methods to calculate
transition amplitudes (i.e., off-diagonal matrix elements) between eigenstates obtained by the VQD
We propose such a method feasible on NISQ devices and demonstrate on a sampling simulator
Summary
3. Calculating transition amplitudes
VQD is an accurate way to simulate excited states on a quantum
computer
We proposed a method to calculate transition amplitudes
between two orthogonal states in a hardware-friendly manner,
which is applicable (not only) for the VQD
This work enlarges the possibility of the VQD and advances the
field of excited states calculations on a quantum device
4. Sampling simulation with shot noise
5. Conclusion
Appendix: Comparison of ansatz
LiH
𝑅
Li H
STO-3G
(4e, 6o)
(12 qubits)
Method for
excited statesk
Accuracy
Easy to calculate
transition amplitudes?
SSVQE Fair Yes
MCVQE Intermediate Yes
VQD Excellent No Yes (This work)
Diazene (N2H2)
2. Comparison of methods by noiseless simulation
Potential energy curve Error from exact calc.
O. Higgott et al, Quantum 3, 159 (2019)R. Parrish et al,
Phys. Rev. Lett. 122, 230401 (2019)
K. Nakanishi et al,
Phys. Rev. Research 1, 033062 (2019)
ℒ(𝜽) =
𝑖=1
𝑘
𝑤𝑖⟨𝜑𝑖 𝑈†
𝜽 𝐻𝑈 𝜽 𝜑𝑖⟩
(𝑤1> 𝑤2 > ⋯ > 0)
ℒ(𝜽) =
𝑖=1
𝑘
⟨𝜑𝑖 𝑈†
𝜽 𝐻𝑈 𝜽 𝜑𝑖⟩
finally diagonalize on classical computer
1. Obtain ground state E0 with VQE
2. Execute VQE routine to minimize
ℒ1 𝜃 = 𝜓 𝜃 𝐻 𝜓 𝜃 + 𝑤1 ⟨E0|𝜓 𝜃 ⟩ 2
→ Obtain first excited state E1 = 𝜓 𝜃1
∗
3. Repeat for higher excited states
SSVQE
Subspace-Search VQE
MCVQE
Multistate-Contracted VQE
VQD
Variational Quantum Deflation
: physical quantity (Hermitian op.), where .
Following equality holds for transition amplitude :
Each term can be measured on real devices
Calculation setups
• Molecular structures: several points along minimum energy
path between S2 Franck-Condon (cis/trans) & S2 minimum
• Calculation level: 6-31G*/CASCI(6e, 4o), 8 qubits
• Ansatz: RSP ansatz (D=20, see Appendix)
• High-speed simulator Qulacs [http://qulacs.org/] is used
Enables calculation of transition amplitudes with VQD
Unable to measure
as it is (A is not unitary)
Definition of oscillator strength 𝑓𝑖𝑗
: 𝛼-coordinate of the 𝑙-th electron
where
: electric dipole moment operator
in atomic units
LiH
𝑅
Li H
STO-3G
CASCI(2e, 2o)
(2 qubits)
Potential energy curve & error Oscillator strength
RY ansatz
VQD can generate excited states the most accurately
SSVQE and MCVQE can readily calculate transition amplitudes
However, VQD has no known methods to calculate transition
amplitudes on real NISQ devices
Transition amplitudes are required for calculating
various physical quantities (e.g., oscillator strengths)
(𝐴: Hermitian op.)
Calculation setups
• Calculation level: 6-31G*/CASCI(2e, 2o), 2 qubits (parity mapping is used to reduce the number of qubits)
• Ansatz: RY ansatz (D=2)
• Two options for optimization routine for this experiment
Blue dots : use sampling simulator in the whole process (including optimization routine)
Orange dots: use sampling simulator only for calculating oscillator strengths (parameters are optimized
with noiseless simulator), still using our proposed method
Using RSP ansatz (D=10, see Appendix)
J. T. Seeley et al., J. Chem. Phys. 137, 224109 (2012)
(Available in Qiskit Aqua v0.6.4)
Unitary operators
Assuming
Hardware-efficient ansatz
𝑈 𝑈𝐶𝐶𝑆𝐷 𝜽 = exp 𝑇𝑆𝐷(𝜽) − 𝑇𝑆𝐷
†
(𝜽)
𝑇𝑆𝐷 𝜽 =
𝑖:occupied
𝑎:virtual
𝜃𝑖
𝑎
𝑐 𝑎
†
𝑐𝑖
+
𝑖𝑗:occupied
𝑎𝑏:virtual
𝜃𝑖𝑗
𝑎𝑏
𝑐 𝑎
†
𝑐 𝑏
†
𝑐𝑖 𝑐𝑗
A. Kandala et al., Nature 549, 242 (2017) A. Peruzzo et al., Nat. Comm., 5,4213 (2014)
× 𝐷
UCC-SD ansatz RSP ansatz
(Real-valued symmetry preserving ansatz)
𝑅 [Å] 𝑅 [Å]
𝑅 [Å]
𝑅 [Å]
Energy[Ha]
For symmetry-preserving ansatz, see
P. Barkoutsos et al., Phys. Rev. A 98, 022322 (2018)
Energy[Ha]
Energy[Ha]
Molecule: LiH(4e, 6o)
Basis set: STO-3G
# of qubits: 12
depth D = 8
Molecule: LiH(4e, 6o)
Basis set: STO-3G
# of qubits: 12
Molecule: LiH(4e, 6o)
Basis set: STO-3G
# of qubits: 12
depth D = 20
For results on azobenzene, see our paper on arXiv!
arXiv:2002.11724
(QunaSys Inc. and Mitsubishi Chemical Corp. are collaborators.)