A quantum-classical cloud platform optimized for variational hybrid algorithms

Abstract

In order to support near-term applications of quantum computing, a new compute paradigm has emerged--the quantum-classical cloud--in which quantum computers (QPUs) work in tandem with classical computers (CPUs) via a shared cloud infrastructure. In this work, we enumerate the architectural requirements of a quantum-classical cloud platform, and present a framework for benchmarking its runtime performance. In addition, we walk through two platform-level enhancements, parametric compilation and active qubit reset, that specifically optimize a quantum-classical architecture to support variational hybrid algorithms (VHAs), the most promising applications of near-term quantum hardware. Finally, we show that integrating these two features into the Rigetti Quantum Cloud Services (QCS) platform results in considerable improvements to the latencies that govern algorithm runtime.

arXiv comment21 pages, 8 figures; updated references to match published version

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• Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design
• Mitiq: A software package for error mitigation on noisy quantum computers
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• Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets
• Quantum Volume in Practice: What Users Can Expect from NISQ Devices
• Pulser: An open-source package for the design of pulse sequences in programmable neutral-atom arrays
• Multilevel Combinatorial Optimization Across Quantum Architectures
• Optimized compiler for Distributed Quantum Computing
• Pulse-level noisy quantum circuits with QuTiP
• Demonstration of quantum volume 64 on a superconducting quantum computing system
• Primitive Quantum Gates for Dihedral Gauge Theories
• Application-Motivated, Holistic Benchmarking of a Full Quantum Computing Stack
• Computationally Efficient Zero Noise Extrapolation for Quantum Gate Error Mitigation
• Exploiting Symmetry Reduces the Cost of Training QAOA
• Gutzwiller Hybrid Quantum-Classical Computing Approach for Correlated Materials
• Quantum Computing for Fusion Energy Science Applications
• Readout Rebalancing for Near Term Quantum Computers
• Benchmarking variational quantum eigensolvers for the square-octagon-lattice Kitaev model
• Warm-Starting and Quantum Computing: A Systematic Mapping Study
• Noise robustness and experimental demonstration of a quantum generative adversarial network for continuous distributions
• Statistical phase estimation and error mitigation on a superconducting quantum processor
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• Group-theoretic error mitigation enabled by classical shadows and symmetries
• Simulating nonnative cubic interactions on noisy quantum machines
• A systematic variational approach to band theory in a quantum computer
• Latency considerations for stochastic optimizers in variational quantum algorithms
• Networked Quantum Services
• Qubit noise deconvolution
• Mitigating errors by quantum verification and post-selection
• A compiler for universal photonic quantum computers
• Direct estimation of minimum gate fidelity
• Approximating under the Influence of Quantum Noise and Compute Power
• Benchmarking Quantum Optimization for the Maximum-Cut Problem on a Superconducting Quantum Computer
• MISTIQS: An open-source software for performing quantum dynamics simulations on quantum computers
• Quantum Computing in Pharma: A Multilayer Embedding Approach for Near Future Applications
• Efficient parameterised compilation for hybrid quantum programming
• Quantum computing hardware in the cloud: Should a computational chemist care?
• Virtual Z gates and symmetric gate compilation
• Optimization via Quantum Preconditioning
• Qonductor: A Cloud Orchestrator for Quantum Computing
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• Ground-state phase diagram of quantum link electrodynamics in $(2+1)$-d
• Molecular resonance identification in complex absorbing potentials via integrated quantum computing and high-throughput computing