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IQM slide pitch deck
IQM is a Finnish startup focused on developing superconducting quantum computers, having been spun out from Aalto University and VTT in 2019. It emphasizes co-designing quantum computers to enhance precision and speed in quantum operations while collaborating with various institutions to strengthen the Finnish quantum ecosystem. The company is progressing towards deploying its first quantum computer and optimizing its technology for specific applications in chemistry and pharmaceuticals.
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IQM slide pitch deck
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- 31. Fast Lane toQuantum Advantage 1 Co-Designing Quantum Computers @ IQM Bruno G. Taketani bruno.taketani@meetiqm.com
- 32. Fast Lane toQuantum Advantage 2 Outline • Introduction to IQM • Co-designing quantum computers • Latest results
- 33. Fast Lane toQuantum Advantage 3 Outline • Introduction to IQM • Co-designing quantum computers • Latest results
- 34. Fast Lane toQuantum Advantage 4 IQM in brief Quantum computing startup • Spinout of Aalto University and VTT in July 2019 • Develop and sell quantum computers based on superconducting technology • Hardware stack and co-design quantum computers • Secured 2 rounds of private investment funding (Seed & A) Employees (Jan. 2021) • IQM Finland 67 employees • IQM Germany 15 employees 0 20 40 60 80 100 STAFF COUNT Jul 19 Jan 21
- 35. Fast Lane toQuantum Advantage 5 Jan Goetz (CEO) 2018 A p r founded Juha Vartiainen (COO) Kuan Tan (CTO) Mikko Möttönen (Chief Scientist) N o v 2nd fridge 2019 J u l S e p 1st fridge arrived & lab established Seed Funding (11.5 M€) 2020 D e c J u n 2021 EIC Accelerator (2.5 M€ + 15 M€) 3rd fridge Moved to new lab IQM Germany M a y M a r CZ-gate O c t QCR-qubit reset Series A (39 M€) Finnish Quantum Computer N o v
- 36. Fast Lane toQuantum Advantage 6 IQM’s R&D infrastructure • 3 dilution refrigerators installed, 5 more in H1 2021 in an EM shielded underground facility • Clean room operations in Micronova, Espoo Cleanroom: Micronova, Otaniemi Experimental facilities: Keilaniemi, Espoo.
- 37. Fast Lane toQuantum Advantage 7 Finnish Quantum Computer • Finland’s first quantum computer • IQM will build the computer with VTT, with partners from Aalto, ETH, and Jülich • Co-development project to strengthen the Finnish quantum ecosystem • Collaboration also with CSC and Atos • 3 phases: 5-, 20- and 50-qubit processors deployed over the next ~3.5 years
- 38. Fast Lane toQuantum Advantage 8 IQM’s R&D team F A B R I C A T I O N S Y S T E M I N T E G R A T I O N S C A L A B L E E L E C T R O N I C S S O F T W A R E Manufactures IQM quantum processors in the largest cleanroom of the Nordics Takes IQM quantum processors into operation in weekly feedback cycles Builds solutions to design and operate IQM quantum processors Provides the control equipment for IQM quantum processors C O - D E S I G N Develops application-specific algorithms and co-design blueprints for QPUs
- 39. Fast Lane toQuantum Advantage 9 Outline • Introduction to IQM • Co-designing quantum computers • Latest results
- 40. Fast Lane toQuantum Advantage 10 Unique chip technology PROBLEM Quantum operations too error prone for quantum advantage and too slow for error correction. SOLUTION IQM builds the most precise and fastest quantum processors by improving the three basic quantum operations: reset, gates, readout. FASTER READOUT: MULTICHANNEL INSTEAD OF SINGLE DRIVE ⇢ Based on a multichannel driving scheme ⇢ No on-chip overhead FASTER RESET: QCR WITHOUT FEEDBACK ⇢ Unconditional reset ⇢ Resets also higher quantum states (leakage errors) ⇢ No RF fields required (quasi-DC technology) ⇢ Suitable for active on-chip cooling FASTER GATES: TUNABLE COUPLER & N-JUNCTION QUBITS ⇢ Tunable coupler with ultrafast gate times ⇢ Utilizing higher nonlinearity of novel qubit types Phys. Rev. Lett. 122, 080503 (2019)
- 41. Fast Lane toQuantum Advantage 11 Qubits Square lattices Quantum Error Correction Digital Quantum Computation W H A T I S C O - D E S I G N ? Standard Digital QC BUILDING A UNIVERSAL QC
- 42. Fast Lane toQuantum Advantage 12 Level 3 Co-Desgin Level 2 Co-Desgin Level 1 Co-Design Standard Digital QC Co-Design QC Qubits Qubits Square lattices Square lattices Single-qubit gates Two-qubit gates Single-qubit gates Two-qubit gates Analog blocks Hexagonal lattices Qudits Bosonic modes Triangular lattices … …
- 43. Fast Lane toQuantum Advantage 13 Application-specific processors PROBLEM Universal quantum computers require millions of qubits, which are not expected soon. SOLUTION IQM uses a hardware-software co-design approach for unique QuASICs based on digital-analog quantum computing. We are creating a shortcut to quantum advantage. Digital-Analog algorithm (arXiv:2002.12215): QUANTUM ADVANTAGE APPLICATION-SPECIFIC PROCESSORS OPTIMIZED CHIP TOPOLOGY ADVANCED CHIP TECHNOLOGY DIGITAL- ANALOG NISQ ERROR CORRECTION Quantum finance Quantum chemistry Quantum machine learning Refs: • arXiv:2002.12215 (2020) • PRX Quantum 1, 110304 (2020)
- 44. Fast Lane toQuantum Advantage 14 Chemistry and pharma applications WHY QUANTUM? • Inherent exponential complexity • Original systems often quantum. APPLICATIONS • Dynamics and static properties of complex materials and molecules • Electron transport and transfer processes • Quantum sensing CO-DESIGN APPROACH • Problem encoding in non-qubit units
- 45. Fast Lane toQuantum Advantage 15 Outline • Introduction to IQM • Co-designing quantum computers • Latest results
- 46. Fast Lane toQuantum Advantage 16 Example 1: Quantum-circuit refrigerator for resetting a qubit Background Nat. Comm. 8, 15189 (2017) Quantum-circuit Refrigerator Photon assisted tunneling across normal-metal-insulator-superconductor (NIS) junctions Bias ‘sweet-spots’ in which absorption over emission rates are highest, enabling optimum cooling of photonic modes of the resonator Absorption and emission at QCR
- 47. Fast Lane toQuantum Advantage 17 Example 1: Quantum-circuit refrigerator for resetting a qubit QCR-qubit Transmon qubit capacitively-coupled to the QCR QCR 20 µm qubit reset Qubit signal (a.u.) 0 50 100 150 200 250 300 time (ns) natural qubit decay Qubit in | ⟩ # state Qubit in | ⟩ $ state Mapping of pulse parameters to obtain optimum unconditional reset of qubit to |!⟩ 0.0 0.11 0.23 0.34 0.45 0.57 0.68 0.8 0.91 1.02 1.14 Pulse amplitude (eV/2Δ) 0 50 100 150 200 250 300 350 10-2 10-1 100 QCR pulse length, t (ns) Qubit population ~96% t time QCR pulse Qubit drive Readout t
- 48. Fast Lane toQuantum Advantage 18 Example 2: Readout optimization Readout fidelity (~90.5%) qubit TWPA HEMT Digitizer • Ongoing work • Single-shot readout using VTT TWPAs • Currently limited by TWPA gain / SNR and unoptimized readout circuit Readout fidelity (~94 %)
- 49. Fast Lane toQuantum Advantage 19 Example 3: CZ-gate 20 µm Q1 Q2 Coupler Two-qubit gate with a flux-tunable coupler Qubit rotations Expectation value Pauli vectors from measurement Gate time ~20 ns Refs: • Phys. Rev. Applied 10, 054062 (2018) – MIT • arXiv:2011.01261 (2020) - MIT • Phys. Rev. Lett. 125, 240502 (2020) – ETH Adiabatic sweep of coupler to operating point and back to ! ∼ 0 for CZ gating ZZ coupling |$|/2 ' (GHz) Coupler frequency ("/(2 ') (GHz) Absolute value of ZZ-coupling as a function of (# idling frequency Qubit 1 Coupler Qubit 2 Frequency 6.893 GHz 7.79 GHz 6.977 GHz T1 4 µs 5 µs 10 µs T2* 7 µs 1 µs 7 µs Qubit anharmonicity ~270 MHz
- 50. Fast Lane toQuantum Advantage 20 Next steps • IQM is taking into operation a 5-qubit QPUs • Delivery of VTT Finnish quantum computer • Execution of digital-analog quantum algorithms on the QPU
- 51. Fast Lane toQuantum Advantage 21 Thank you for tuning in WE ARE HIRING! Bruno G. Taketani bruno.taketani@meetiqm.com www.meetiqm.com