Q-Ctrl's Expertise & Capabilities

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Q-Ctrl's Expertise & Capabilities Q-CTRL’S EXPERTISE & CAPABILITIES THE WORLD’S LEADING EXPERTS IN QUANTUM CONTROL ENGINEERING For more Information visit q-ctrl.com INTRODUCTION At Q-CTRL we’ve assembled a team comprising many optimization through to quantum computer architecture of the world’s leading experts in quantum control analyses, sensor data fusion to improved clock engineering, with expertise spanning the dominant stabilization using machine learning. quantum computing hardware platforms as well as near-term applications in sensing and metrology. Just imagine how much our team can help you achieve. Our team understands the challenges faced by hardware Explore below for highlights of our capabilities. R&D teams, software architects, and end-users, and has a sustained publication track record demonstrating an ability to drive progress across the field of quantum technology. We solve tough challenges from experimental hardware TRAPPED-ION QUANTUM COMPUTING The Q-CTRL team has extensive experience in trapped-ion quantum logic and experimental hardware. Through our IARPA and ARO sponsored collaborations with the University of Sydney we have demonstrated how Q-CTRL solutions can help identify noise sources and dramatically improve the robustness and speed of Molmer-Sorensen entangling gates. KEY STAFF SELECTED PUBLICATIONS Dr. Harrison Ball Assessing the progress of trapped-ion processors A Study on Fast Gates for Large-Scale Dr. Chris Bentley towards fault-tolerant quantum computation Quantum Simulation with Trapped Ions Prof. Michael J. Biercuk Physical Review X 7 (4), 041061 Scientific Reports 7, 46197 Dr. Andre Carvalho Ms. Claire Edmunds Engineered two-dimensional Ising interactions in a Scaling Trapped Ion Quantum Computers trapped-ion quantum simulator with hundreds of spins Using Fast Gates and Microtraps Nature 484 (7395), 489 Physical Review Letters 120 (22), 220501 Fast gates for ion traps by splitting laser pulses Phase-modulated entangling gates robust New Journal of Physics 15 (4), 043006 against static and time-varying errors Phys. Rev. Applied 13, 024022 Site-resolved imaging of beryllium ion crystals in a high-optical-access Penning trap with inbore Numeric Optimization for Configurable, Parallel, optomechanics Error‐Robust Entangling Gates in Large Ion Registers Review of Scientific Instruments 90 (5), 053103 Advanced Quantum Technologies 2020, 2000044 Near-ground-state transport of trapped-ion qubits through a multidimensional array Physical Review A 84 (3), 032314 For more Information visit q-ctrl.com SUPERCONDUCTING QUANTUM COMPUTING Our team members have led the development and operation of superconducting quantum processors, as well as the application of optimal control to these devices. We’ve leveraged these experiences to deliver totally new control solutions for superconducting qubits to our customers and partners. KEY STAFF SELECTED PUBLICATIONS Dr. Mirko Amico Optimal qubit control using single-flux Experimental study of Shor’s factoring algorithm Dr. Harrison Ball quantum pulses using the IBM Q Experience Dr. Yuval Baum Physical Review Applied 6 (2), 024022 Physical Review A 100 (1), 012305 Dr. Per Liebermann Optimized cross-resonance gate Laplace transform approach for the dynamics for coupled transmon systems of N qubits coupled to a resonator Physical Review A 97 (4), 042348 Physics Letters A 383 (6), 487-493 Tunable quantum entanglement of Dynamical Lamb effect in a superconducting circuit three qubits in a nonstationary cavity Physical Review A 100 (1), 013841 Physical Review A 96 (3), 032328 Dissipative quantum entanglement dynamics of two Dissipative quantum entanglement dynamics of two and three qubits due to the dynamical Lamb effect and three qubits due to the dynamical Lamb effect Physical Review A 98 (4), 042325 Physical Review A 98 (4), 042325 Tunable quantum entanglement of three qubits Dynamical Lamb effect in a superconducting circuit in a nonstationary cavity Physical Review A 100 (1), 013841 Physical Review A 96 (3), 032328 Experimental study of Shor’s factoring algorithm Error-robust quantum logic optimization using a cloud using the IBM Q Experience quantum computer interface Physical Review A 100 (1), 012305 arXiv:2010.08057 Laplace transform approach for the dynamics of N qubits coupled to a resonator Physics Letters A 383 (6), 487-493 For more Information visit q-ctrl.com QUANTUM CHARACTERIZATION, VERIFICATION, AND VALIDATION The validation of quantum hardware performance is a critical task in the development and integration of quantum firmware. Our team has focused on moving beyond simplified abstractions to understanding the practical impact of realistic hardware noise environments on the interpretation of QCVV protocols. Our emphasis on gaining actionable information about microscopic noise sources has led to new interpretations of hardware characterization routines. KEY STAFF SELECTED PUBLICATIONS Dr. Harrison Ball Full reconstruction of a 14-qubit state Convergence analysis for autonomous adaptive Dr. Yuval Baum within four hours learning applied to quantum architectures Prof. Michael J Biercuk New Journal of Physics 18 (8), 083036 arXiv preprint arXiv:1911.05752 Dr. Marcus Cramer Dr. Li Li Adaptive quantum state tomography via linear Efficient tomography of a quantum many-body system regression estimation: Theory and two-qubit Nature Physics 13, 1158 experiment npj Quantum Information 3 (1), 19 Practical Entanglement Estimation for Spin-System Quantum Simulators Experimental demonstration of real-time adaptive Phys. Rev. Lett. 116, 105301 (2016) one-qubit quantum-state tomography Physical Review A 95 (1), 012129 Scalable Reconstruction of Unitary Processes and Hamiltonians Experimental demonstration of real-time adaptive Phys. Rev. A 91, 042129 one-qubit quantum-state tomography Physical Review A 95 (1), 012129 A Scalable Maximum Likelihood Method for Quantum State Tomography The effect of noise correlations on New J. Phys. 15, 125004 randomized benchmarking Physical Review A 93, 022303 Scalable Reconstruction of Density Matrices Phys. Rev. Lett. 111, 020401 Experimental quantum verification in the presence of temporally correlated noise Focus on Quantum Tomography NPJ Quantum information 4 (1), 1-9 New J. Phys. 15, 125020 Dynamically corrected gates suppressing Efficient Quantum State Tomography spatiotemporal error correlations as measured Nature Communications 1, 149 by randomized benchmarking Physical Review Research 2 (1), 013156 Quantum oscillator noise spectroscopy via displaced Schrödinger cat states Autonomous adaptive noise characterization in arXiv:2010.04375 quantum computers npj Quantum Information 6, 53 For more Information visit q-ctrl.com NEUTRAL ATOMS FOR QUANTUM COMPUTING AND SENSING The Q-CTRL Quantum Engineering team has built extraordinary proficiency from working in some of the world’s most advanced atomic devices groups. We have a demonstrated track record of the integration of machine-learning and optimal control into neutral atom experiments to drive major performance enhancement in hardware. KEY STAFF SELECTED PUBLICATIONS Dr. Russell Anderson Machine learning for quantum physics Spatial non-adiabatic passage using geometric phases Dr. Albert Benseny Cases Science 355 (6325), 580-580 EPJ Quantum Technology 4 (1), 3 Dr. Marcus Cramer Dr. Chris Bentley Approaching the adiabatic timescale with machine Robust boson dispenser: Quantum state Dr. Andre Carvalho learning Proceedings of the National Academy preparation in interacting many-particle systems Dr. Michael Hush of Sciences 115 (52), 13216-13221 Physical Review A 96 (2), 023606 Dr. Nick Robins Dr. Harry Slatyer Multiparameter optimisation of a Interaction-induced effects on Bose-Hubbard parameters magneto-optical trap using deep learning Physical Review A 96 (6), 063611 Nature Communications 9 (1), 4360 Coherent spectral hole burning and qubit isolation Fast machine-learning online optimization by stimulated Raman adiabatic passage of ultra-cold-atom experiments Physical Review A 100 (2), 023813 Scientific Reports 6, 25890 Fast and robust quantum control based on Pauli blocking Feedback control of an interacting Physical Review A 96 (4), 043601 Bose-Einstein condensate using phase-contrast imaging Shaken not stirred: Creating exotic angular Physical Review A 82 (4), 043632 momentum states by shaking an optical lattice J. Phys. B 49, 215003 Continuous measurement feedback control of a Bose-Einstein condensate Quantum tunneling dynamics of an interacting using phase-contrast imaging Bose-Einstein condensate through a Gaussian barrier Physical Review A 80 (1), 013614 Physical Review A 98, 053629(2018) Transferring orbital and spin angular Observation of a modulational instability momenta of light to atoms in Bose-Einstein condensates New Journal of Physics 12 (8), 083053 Physical Review A: Atomic, Molecular and Optical Physics 96, 4(2017) 1-5 Atomtronics with holes: coherent transport of an empty site in a triple-well potential Highly efficient optical quantum memory Physical Review A 82 (1), 013604 with long coherence time in cold atoms Optica 3, 1(2016) 100-107 Need for relativistic corrections in the analysis of spatial adiabatic passage of matter waves Precise wave-function engineering with Physical Review A 85 (5), 053619 magnetic resonance Physical Review A 96, 013612 Transport of ultracold atoms between concentric traps via spatial adiabatic passage A scripted control system for autonomous New Journal of Physics 18 (1), 015010 hardware-timed experiments Review of Scientific Instruments 84, 085111 Speeding up the
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