Noise-Resistant Quantum State Compression Readout

Abstract

Qubit measurement is generally the most error-prone operation that degrades the performance of near-term quantum devices, and the exponential decay of readout fidelity severely impedes the development of large-scale quantum information processing. Given these disadvantages, we present a quantum state readout method, named \textit{compression readout}, that naturally avoids large multi-qubit measurement errors by compressing the quantum state into a single qubit for measurement. Our method generally outperforms direct measurements in terms of accuracy, and the advantage grows with the system size. Moreover, because only one-qubit measurements are performed, our method requires solely a fine readout calibration on one qubit and is free of correlated measurement error, which drastically diminishes the demand for device calibration. These advantages suggest that our method can immediately boost the readout performance of near-term quantum devices and will greatly benefit the development of large-scale quantum computing.

arXiv commentAccepted by Science China Physics, Mechanics & Astronomy

References in corpus (39)

• Supplementary information for "Quantum supremacy using a programmable superconducting processor"
• Quantum Machine Learning
• Quantum algorithm for solving linear systems of equations
• Hardware-efficient Variational Quantum Eigensolver for Small Molecules and Quantum Magnets
• Supervised learning with quantum enhanced feature spaces
• Quantum computational advantage using photons
• Quantum machine learning in feature Hilbert spaces
• Quantum computational chemistry
• Quantum Chemistry in the Age of Quantum Computing
• Error mitigation for short-depth quantum circuits
• Optical Quantum Computing
• Strong quantum computational advantage using a superconducting quantum processor
• Quantum Phases of Matter on a 256-Atom Programmable Quantum Simulator
• Extending the computational reach of a noisy superconducting quantum processor
• Quantum algorithms for quantum chemistry and quantum materials science
• Hartree-Fock on a superconducting qubit quantum computer
• Efficient quantum state tomography
• Experimental ten-photon entanglement
• Experimental Demonstration of Blind Quantum Computing
• 18-qubit entanglement with photon's three degrees of freedom
• Cloud Quantum Computing of an Atomic Nucleus
• Superconducting Quantum Computing: A Review
• A compact ion-trap quantum computing demonstrator
• Mitigating measurement errors in multi-qubit experiments
• Hybrid Quantum-Classical Convolutional Neural Networks
• Scalable mitigation of measurement errors on quantum computers
• Experimental Quantum Generative Adversarial Networks for Image Generation
• Efficient quantum algorithm for dissipative nonlinear differential equations
• Experimental quantum speed-up in reinforcement learning agents
• Quantum computation with universal error mitigation on superconducting quantum processor
• Error-Mitigated Quantum Gates Exceeding Physical Fidelities in a Trapped-Ion System
• Experimental Blind Quantum Computing for a Classical Client
• On the Quantum versus Classical Learnability of Discrete Distributions
• Multi-exponential Error Extrapolation and Combining Error Mitigation Techniques for NISQ Applications
• Emulating quantum teleportation of a Majorana zero mode qubit
• Demonstration of Topological Data Analysis on a Quantum Processor
• Verifying Random Quantum Circuits with Arbitrary Geometry Using Tensor Network States Algorithm
• Experimental accreditation of outputs of noisy quantum computers
• Conditionally rigorous mitigation of multiqubit measurement errors

Cited by in corpus (4)

• Quantum Neuronal Sensing of Quantum Many-Body States on a 61-Qubit Programmable Superconducting Processor
• Hückel Molecular Orbital Theory on a Quantum Computer: A Scalable System-Agnostic Variational Implementation with Compact Encoding
• Mitigation of correlated readout errors without randomized measurements
• Circuit-Noise-Resilient Virtual Distillation