Quantum Volume in Practice: What Users Can Expect from NISQ Devices

Abstract

Quantum volume (QV) has become the de-facto standard benchmark to quantify the capability of Noisy Intermediate-Scale Quantum (NISQ) devices. While QV values are often reported by NISQ providers for their systems, we perform our own series of QV calculations on 24 NISQ devices currently offered by IBM Q, IonQ, Rigetti, Oxford Quantum Circuits, and Quantinuum (formerly Honeywell). Our approach characterizes the performances that an advanced user of these NISQ devices can expect to achieve with a reasonable amount of optimization, but without white-box access to the device. In particular, we compile QV circuits to standard gate sets of the vendor using compiler optimization routines where available, and we perform experiments across different qubit subsets. We find that running QV tests requires very significant compilation cycles, QV values achieved in our tests typically lag behind officially reported results and also depend significantly on the classical compilation effort invested.

arXiv commentv5: typo fixes and improved typesetting

References in corpus (34)

• Quantum Computing in the NISQ era and beyond
• Quantum Annealing in the Transverse Ising Model
• Noisy intermediate-scale quantum (NISQ) algorithms
• Quantum annealing with more than one hundred qubits
• Theory of Quantum Annealing of an Ising Spin Glass
• Validating quantum computers using randomized model circuits
• Quantum Annealing and Analog Quantum Computation
• Demonstration of the trapped-ion quantum-CCD computer architecture
• Quantum circuits with many photons on a programmable nanophotonic chip
• Benchmarking an 11-qubit quantum computer
• Gaussian Boson Sampling
• Mathematical Foundation of Quantum Annealing
• A generative modeling approach for benchmarking and training shallow quantum circuits
• Resource-Aware Quantum Programming with General Recursion and Quantum Control
• Efficient experimental validation of photonic boson sampling against the uniform distribution
• Concrete Categorical Model of a Quantum Circuit Description Language with Measurement
• Qiskit Pulse: Programming Quantum Computers Through the Cloud with Pulses
• Scaling advantage in quantum simulation of geometrically frustrated magnets
• Measuring the Capabilities of Quantum Computers
• Reducing unitary and spectator errors in cross resonance with optimized rotary echoes
• Implementation of the XY interaction family with calibration of a single pulse
• Efficient Arbitrary Simultaneously Entangling Gates on a trapped-ion quantum computer
• A quantum-classical cloud platform optimized for variational hybrid algorithms
• A volumetric framework for quantum computer benchmarks
• Double-sided coaxial circuit QED with out-of-plane wiring
• Quantum Volume in Practice: What Users Can Expect from NISQ Devices
• On the qubit routing problem
• Re-examining the quantum volume test: Ideal distributions, compiler optimizations, confidence intervals, and scalable resource estimations
• Application-Motivated, Holistic Benchmarking of a Full Quantum Computing Stack
• Sampling on NISQ Devices: "Who's the Fairest One of All?"
• Scalable Benchmarks for Gate-Based Quantum Computers
• Stability of noisy quantum computing devices
• Fair Sampling Error Analysis on NISQ Devices
• Error mitigation increases the effective quantum volume of quantum computers

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• Preparations for Quantum Simulations of Quantum Chromodynamics in 1+1 Dimensions: (II) Single-Baryon $\beta$-Decay in Real Time
• Quantum Volume in Practice: What Users Can Expect from NISQ Devices
• Enhancing the Coherence of Superconducting Quantum Bits with Electric Fields
• Squeezing and quantum approximate optimization
• Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning
• Ab-initio tree-tensor-network digital twin for quantum computer benchmarking in 2D
• Navigating the noise-depth tradeoff in adiabatic quantum circuits