Scalable quantum computing architecture and fabrication processes have been a hot research topic in the past decade. We focus on the realization of a quantum computer based on superconducting qubits with a fast qubit reset and initialization techniques, utilizing a quantum-circuit refrigerator [1]. We present the fabricated devices and results achieved to date, which includes resonators with high quality factors, > 1e6, long qubit lifetime > 0.02 ms and 3D integration techniques such as airbridges.
Lecture of Professor Amlan Chakrabarti, University of Calcutta on : Fundamentals of Quantum Computing, presented at the Quantum Conference organized by the Dept. of IT, Govt. of West Bengal, India on 12th October 2018
Lecture of Professor Amlan Chakrabarti, University of Calcutta on : Fundamentals of Quantum Computing, presented at the Quantum Conference organized by the Dept. of IT, Govt. of West Bengal, India on 12th October 2018
The new emerging technology which is under research but when will come into practice, it will change the era of computing.
Its is based on changing the concept of inputs received by the machine.
till now the machine works with 0 and 1,however it will implement an input b/w 0 and 1 i.e 1/2.
The speed of processing will raise up-to 8 times and things will be beyond our expectations.
Quantum Information Science and Quantum Neuroscience.pptMelanie Swan
Mathematical advance in quantum information science is proceeding quickly and applies to many fields, particularly the complexities of neuroscience (here focusing on image-readable physical behaviors such as neural signaling, as opposed to higher-order operations of cognition, memory, and attention). Quantum mathematical models are extensible to neuroscience problem classes treating dynamical time series, diffusion, and renormalization in multiscalar systems. Approaches first reconstruct wavefunctions observed in EEG and fMRI scans. Second, single-neuron models (Hodgkin-Huxley, integrate-and-fire, theta neurons) and collective neuron models (neural field theories, Kuramoto oscillators) are employed to model empirical data. Third, genome physics is used to study time series sequence prediction in DNA, RNA, and proteins based on 3d+ complex geometry involving fields, curvature, knotting, and information compaction. Finally, quantum neuroscience physics is applied in AdS/Brain modeling, Chern-Simons biology (topological invariance), neuronal gauge theories, network neuroscience, and the chaotic dynamics of bifurcation and bistability (to explain epileptic and resting states). The potential benefit of this work is an improved understanding of disease and pathology resolution in humans.
Quantum Computers PART 4 Quantum Computer’sHardware by Lili SaghafiProfessor Lili Saghafi
Quantum Computers Hardware
Inside the processor
Interference
Niobium
Fabric Of Quantum Devices That Are Programmable
Josephson Junction
Outside the processor
Power and Cooling
The Future Of The Hardware
Lecture slides from a class introducing quantum mechanics to non-majors, giving an overview of black-body radiation, the photoelectric effect, and the Bohr model. Used as part of a course titled "A Brief history of Timekeeping," as a lead-in to talking about atomic clocks
The Presentation is about the quantum computers and quantum computing describing the quantum phenomena which makes the future computers 1000 times more powerful than the current computers .Also include an Artificial intelligence to tell the difference of computing power between the a conventional computer computing and a quantum computer computing.Quantum computers are still under research and development and not available for common peoples and businesses but major organization are investing highly on these future machine hardware especially U.S is spending billions of Dollars to make it happened for their future security purposes.
In computational physics and Quantum chemistry, the Hartree–Fock (HF) method also known as self consistent method is a method of approximation for the determination of the wave function and the energy of a quantum many-body system or many electron system in a stationary state
Quantum computing startup IQM aims to come up with more efficient battery and material designs. This is the 20-slide pitch deck that landed it $128 million in funding.
Plus Slide Backup I: Dilution Refrigerator from Maybell Quantum and Backup II: IQM technical slide
The new emerging technology which is under research but when will come into practice, it will change the era of computing.
Its is based on changing the concept of inputs received by the machine.
till now the machine works with 0 and 1,however it will implement an input b/w 0 and 1 i.e 1/2.
The speed of processing will raise up-to 8 times and things will be beyond our expectations.
Quantum Information Science and Quantum Neuroscience.pptMelanie Swan
Mathematical advance in quantum information science is proceeding quickly and applies to many fields, particularly the complexities of neuroscience (here focusing on image-readable physical behaviors such as neural signaling, as opposed to higher-order operations of cognition, memory, and attention). Quantum mathematical models are extensible to neuroscience problem classes treating dynamical time series, diffusion, and renormalization in multiscalar systems. Approaches first reconstruct wavefunctions observed in EEG and fMRI scans. Second, single-neuron models (Hodgkin-Huxley, integrate-and-fire, theta neurons) and collective neuron models (neural field theories, Kuramoto oscillators) are employed to model empirical data. Third, genome physics is used to study time series sequence prediction in DNA, RNA, and proteins based on 3d+ complex geometry involving fields, curvature, knotting, and information compaction. Finally, quantum neuroscience physics is applied in AdS/Brain modeling, Chern-Simons biology (topological invariance), neuronal gauge theories, network neuroscience, and the chaotic dynamics of bifurcation and bistability (to explain epileptic and resting states). The potential benefit of this work is an improved understanding of disease and pathology resolution in humans.
Quantum Computers PART 4 Quantum Computer’sHardware by Lili SaghafiProfessor Lili Saghafi
Quantum Computers Hardware
Inside the processor
Interference
Niobium
Fabric Of Quantum Devices That Are Programmable
Josephson Junction
Outside the processor
Power and Cooling
The Future Of The Hardware
Lecture slides from a class introducing quantum mechanics to non-majors, giving an overview of black-body radiation, the photoelectric effect, and the Bohr model. Used as part of a course titled "A Brief history of Timekeeping," as a lead-in to talking about atomic clocks
The Presentation is about the quantum computers and quantum computing describing the quantum phenomena which makes the future computers 1000 times more powerful than the current computers .Also include an Artificial intelligence to tell the difference of computing power between the a conventional computer computing and a quantum computer computing.Quantum computers are still under research and development and not available for common peoples and businesses but major organization are investing highly on these future machine hardware especially U.S is spending billions of Dollars to make it happened for their future security purposes.
In computational physics and Quantum chemistry, the Hartree–Fock (HF) method also known as self consistent method is a method of approximation for the determination of the wave function and the energy of a quantum many-body system or many electron system in a stationary state
Quantum computing startup IQM aims to come up with more efficient battery and material designs. This is the 20-slide pitch deck that landed it $128 million in funding.
Plus Slide Backup I: Dilution Refrigerator from Maybell Quantum and Backup II: IQM technical slide
Overview of Photonics Research at Calit2: Scaling from Nanometers to the EarthLarry Smarr
10.03.26
UCSD-NICT Joint Symposium on Innovative Lightwave,
Millimeter-Wave and THz Technologies
for Future Sustainable Network
Title: Overview of Photonics Research at Calit2: Scaling from Nanometers to the Earth
La Jolla, CA
At PTTI 2023, our team, led by Patrick Berthoud, discussed our industry-first high-performance optical cesium atomic clock technology. This cutting-edge solution offers unparalleled levels of precise synchronization and stability.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
APS March Meeting - Superconducting qubit devices: fabrication suite
1. Kok Wai Chan
Team Leader in Device Fabrication
kokwai@meetiqm.com
Superconducting qubit devices: fabrication suite
K. W. Chan, T. Li, W. Liu, J. Heinsoo, V. A. Sevriuk, M. Jenei, F. Marxer, C. Ockeloen-
Korppi, J. Tuorila, J. Hassel, J. Vartiainen, K. Y. Tan, J. Goetz, and M. Möttönen
IQM Finland Oy, Espoo Finland
2. IQM in brief
• Founded in 2018, located in Espoo, Finland
• Seed funding round, 11.5 M€ secured in July 2019
• > 30 employees
• Superconducting qubit design and fabrication
• IP: QCR for fast qubit reset and readout
• Manufacture in-house microwave electronics to control
and readout a quantum processor
2Fast Lane for Quantum Computers
QCR = quantum circuit refrigerator
3. Outline
3
➢Transmon qubit
➢Fabrication of microwave resonators and 1-qubit gate device
➢Microwave resonators
➢Single qubit gate with on-chip airbridges
➢Other projects
➢Acknowledgement
Fast Lane for Quantum Computers
4. Transmon Qubit
4Fast Lane for Quantum Computers
• Qubit is a two level system.
• ۧ|0 and ۧ|1 state represented by
the absence and presence of a
single (microwave) photon in the
resonator, respectively
• Control of states via microwave
drive
• Ultra-low temperature to reach ۧ|0
state
𝐶 𝐿
Classical 𝐿𝐶-oscillator
microwave
photon
𝐶coupling
ℏ𝜔o
ℏ = reduced Planck’s constant, 𝜔0 = 2𝜋𝑓0, 𝑓0 = fundemental frequency of resonator/transmon
𝐶
Non-linear
inductor
𝐿(𝑛)
Transmon
microwave
photon
𝐶coupling
ℏ𝜔o
EJ > EC
Ec = e2/2Csum
Csum (geometry)
• Need anharmonicity and less
charge dispersion, not to excite
other transitions.
• Anharmonicity (non-linear
inductor) implementation
–> Josephson junction (JJ)
• JJ is inherently lossless, good for
qubit lifetime.
[1] P. Krantz et al., Appl. Phys. Rev. 6, 021318 (2019)
5. Transmon Qubit
5Fast Lane for Quantum Computers
𝐶
Non-linear
inductor
𝐿(𝑛)
Transmon
microwave
photon
𝐶coupling
𝐶 𝐿
Readout resonator
𝐶κ
XY drive
SQUID
SQUID = superconducting quantum interference device
• Actual implementation
includes a “dispersive”
readout resonator
• Minimise qubit
perturbation, no energy
exchange
• Readout resonator 𝑓0
changes according to
qubit state
6. Fabrication - Transmon Qubit
6Fast Lane for Quantum Computers
• Start with a bare ultra high resistivity silicon wafer
• Sputter Nb (TC > 7K)
• Resist coating
• Resist patterning (TL + Resonators)
• Resist development
• Etch Nb film
• Clean / remove resist
• Fabricate Al SIS junctions (Dolan bridge)
• Fabricate Al airbridges
TL = transmission line, PECVD = plasma-enhanced chemical vapour deposition, Nb= niobium, Al = aluminium
SIS = superconducting-insulator-superconducting
7. Microwave Resonators
7Fast Lane for Quantum Computers
Photograph: Multiplexed 18 resonators
Qubit lifetime, T1
Qtot = f0/Df-3dB
At single photon level
f0,1
f0,18
f0,1
f0,18
T1 Q / wge
T1= coherence time
9. 1Qb gate + airbridges
9Fast Lane for Quantum Computers
SEM: 1-qubit gate device + airbridges
SEM = scanning electron micrograph, T1= coherence time, T2
*= Ramsey dephasing time
m-airbridges
Measured specifications
fres 6.204 GHz
fss 5.286 GHz
T1 18 ms
T2
* 22 ms
XY drive
transmon
readout resonators
fres = resonator frequency, fss = qubit frequency at sweet spot
10. Other projects – 2-qubit gate
10Fast Lane for Quantum Computers
SEM: 2-qubit gate (tunable coupler)
Qubit fres (GHz) fss (GHz) T1 (ms) T2
* (ms)
1 6.2877 6.7865 13 23
2 6.4330 !10.8500 2.5 0.3
3 6.5027 7.0600 20 25 Fluxline cross-talk measurement
fres = resonator frequency, fss = qubit frequency at sweet spot, ! = not at sweet spot
11. Other projects – fast qubit reset
11Fast Lane for Quantum Computers
SEM: QCR – fast qubit reset
QCR = quantum circuit refrigerator
Presented by Johannes on Monday
Abstract: A36.00008 : Unconditional reset of superconducting
qubits and readout resonators using a quantum-circuit
refrigerator
[1] V. Sevriuk et al., Appl. Phys. Lett. 115, 082601 (2019)
[2] D. Basilewitsch et al., New J. Phys. 21, 093054 (2019)
