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Found 6 papers, 2 papers with code
Learning to rank quantum circuits for hardware-optimized performance enhancement
We introduce and experimentally test a machine-learning-based method for ranking logically equivalent quantum circuits based on expected performance estimates derived from a training procedure conducted on real hardware.
Analog quantum simulation of chemical dynamics
Our approach can be implemented in any device with a qudit controllably coupled to bosonic oscillators and with quantum hardware resources that scale linearly with molecular size, and offers significant resource savings compared to digital quantum simulation algorithms.
Quantum Physics Chemical Physics
Software tools for quantum control: Improving quantum computer performance through noise and error suppression
Manipulating quantum computing hardware in the presence of imperfect devices and control systems is a central challenge in realizing useful quantum computers.
Quantum Physics
Convergence analysis for autonomous adaptive learning applied to quantum architectures
We present a formal analysis and convergence proofs for an autonomous adaptive learning algorithm useful for the tuneup and stabilization of quantum computing architectures.
Quantum Physics Computational Physics Data Analysis, Statistics and Probability 65M75, 62M05, 60G35, 93E35
Adaptive scheduling of noise characterization in quantum computers
New quantum computing architectures consider integrating qubits as sensors to provide actionable information useful for decoherence mitigation on neighboring data qubits.
Quantum Physics 65M75, 62M05, 62M20, 60G35, 93E35
Site-resolved imaging of beryllium ion crystals in a high-optical-access Penning trap with inbore optomechanics
The experimental zone trap electrodes are designed to provide wide-angle optical access for lasers as required for the engineering of spin-motional coupling across large ion crystals while simultaneously providing a harmonic trapping potential.
Atomic Physics Instrumentation and Detectors Quantum Physics
