Readout Error Mitigation for Mid-Circuit Measurements and Feedforward

• URL: http://arxiv.org/abs/2406.07611v1
• Date: Tue, 11 Jun 2024 18:00:01 GMT
• Title: Readout Error Mitigation for Mid-Circuit Measurements and Feedforward
• Authors: Jin Ming Koh, Dax Enshan Koh, Jayne Thompson,
• Abstract summary: Current-day quantum computing platforms are subject to readout errors. We present a general method for readout error mitigation for expectation values on circuits with mid-circuit measurements and feedforward. We demonstrate the effectiveness of our method, obtaining up to a $sim 60%$ reduction in error on superconducting quantum processors.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Current-day quantum computing platforms are subject to readout errors, in which faulty measurement outcomes are reported by the device. On circuits with mid-circuit measurements and feedforward, readout noise can cause incorrect conditional quantum operations to be applied on a per-shot basis. Standard readout error mitigation methods for terminal measurements which act in post-processing do not suffice in this context. Here we present a general method for readout error mitigation for expectation values on circuits containing an arbitrary number of layers of mid-circuit measurements and feedforward, at zero circuit depth and two-qubit gate count cost. The protocol uses a form of gate twirling for symmetrization of the error channels and probabilistic bit-flips in feedforward data to average over an ensemble of quantum trajectories. The mitigated estimator is unbiased and has a sampling overhead of ${\sim} 1 / (1 - 2 r)^m$ for $m$ total measurements and characteristic readout error rate $r$ per measurement. We demonstrate the effectiveness of our method, obtaining up to a ${\sim} 60\%$ reduction in error on superconducting quantum processors for several examples of feedforward circuits of practical interest, including dynamic qubit resets, shallow-depth GHZ state preparation, and multi-stage quantum state teleportation.

Related papers

• Demonstrating quantum error mitigation on logical qubits [18.42082909094174]
  A long-standing challenge in quantum computing is developing technologies to overcome the inevitable noise in qubits. We propose and experimentally demonstrate the application of zero-noise extrapolation, a practical quantum error mitigation technique.
  arXiv  Detail & Related papers  (2025-01-15T19:00:33Z)
• Measuring error rates of mid-circuit measurements [0.0]
  We introduce the first benchmarking protocol that measures the rate at which mid-circuit measurements induce errors in many-qubit circuits. We detect and eliminate previously undetected measurement-induced crosstalk in a 20-qubit trapped-ion quantum computer. We quantify how much of that error is eliminated by dynamical decoupling.
  arXiv  Detail & Related papers  (2024-10-22T05:22:43Z)
• Quantum Compiling with Reinforcement Learning on a Superconducting Processor [55.135709564322624]
  We develop a reinforcement learning-based quantum compiler for a superconducting processor. We demonstrate its capability of discovering novel and hardware-amenable circuits with short lengths. Our study exemplifies the codesign of the software with hardware for efficient quantum compilation.
  arXiv  Detail & Related papers  (2024-06-18T01:49:48Z)
• Optimized measurement-free and fault-tolerant quantum error correction for neutral atoms [1.4767596539913115]
  A major challenge in performing quantum error correction (QEC) is implementing reliable measurements and conditional feed-forward operations. We propose implementations of small measurement-free QEC schemes, which are fault-tolerant to circuit-level noise. We highlight how this alternative approach paves the way towards implementing resource-efficient measurement-free QEC on neutral-atom arrays.
  arXiv  Detail & Related papers  (2024-04-17T18:01:57Z)
• QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits [82.50620782471485]
  QuantumSEA is an in-time sparse exploration for noise-adaptive quantum circuits. It aims to achieve two key objectives: (1) implicit circuits capacity during training and (2) noise robustness. Our method establishes state-of-the-art results with only half the number of quantum gates and 2x time saving of circuit executions.
  arXiv  Detail & Related papers  (2024-01-10T22:33:00Z)
• Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling [7.804530685405802]
  Quantum measurements are a fundamental component of quantum computing. On modern-day quantum computers, measurements can be more error prone than quantum gates. We show that measurement errors can be tailored into a simple error model using randomized compiling.
  arXiv  Detail & Related papers  (2023-12-21T18:57:13Z)
• Fast Flux-Activated Leakage Reduction for Superconducting Quantum Circuits [84.60542868688235]
  leakage out of the computational subspace arising from the multi-level structure of qubit implementations. We present a resource-efficient universal leakage reduction unit for superconducting qubits using parametric flux modulation. We demonstrate that using the leakage reduction unit in repeated weight-two stabilizer measurements reduces the total number of detected errors in a scalable fashion.
  arXiv  Detail & Related papers  (2023-09-13T16:21:32Z)
• Near-Term Distributed Quantum Computation using Mean-Field Corrections and Auxiliary Qubits [77.04894470683776]
  We propose near-term distributed quantum computing that involve limited information transfer and conservative entanglement production. We build upon these concepts to produce an approximate circuit-cutting technique for the fragmented pre-training of variational quantum algorithms.
  arXiv  Detail & Related papers  (2023-09-11T18:00:00Z)
• Error-Mitigated Quantum Routing on Noisy Devices [0.0]
  We experimentally deploy two promising quantum error mitigation methods, Zero-Noise Extrapolation (ZNE) and Probabilistic Error Cancellation (PEC) We also investigate the routing performance provided by the concatenation of these two error-mitigation methods.
  arXiv  Detail & Related papers  (2023-05-23T01:08:01Z)
• Quantum circuit debugging and sensitivity analysis via local inversions [62.997667081978825]
  We present a technique that pinpoints the sections of a quantum circuit that affect the circuit output the most. We demonstrate the practicality and efficacy of the proposed technique by applying it to example algorithmic circuits implemented on IBM quantum machines.
  arXiv  Detail & Related papers  (2022-04-12T19:39:31Z)
• The Accuracy vs. Sampling Overhead Trade-off in Quantum Error Mitigation Using Monte Carlo-Based Channel Inversion [84.66087478797475]
  Quantum error mitigation (QEM) is a class of promising techniques for reducing the computational error of variational quantum algorithms. We consider a practical channel inversion strategy based on Monte Carlo sampling, which introduces additional computational error. We show that when the computational error is small compared to the dynamic range of the error-free results, it scales with the square root of the number of gates.
  arXiv  Detail & Related papers  (2022-01-20T00:05:01Z)
• Measuring NISQ Gate-Based Qubit Stability Using a 1+1 Field Theory and Cycle Benchmarking [50.8020641352841]
  We study coherent errors on a quantum hardware platform using a transverse field Ising model Hamiltonian as a sample user application. We identify inter-day and intra-day qubit calibration drift and the impacts of quantum circuit placement on groups of qubits in different physical locations on the processor. This paper also discusses how these measurements can provide a better understanding of these types of errors and how they may improve efforts to validate the accuracy of quantum computations.
  arXiv  Detail & Related papers  (2022-01-08T23:12:55Z)
• Mitigation of Crosstalk Errors in a Quantum Measurement and Its Applications [1.433758865948252]
  We present a framework for mitigating measurement errors, for both individual and crosstalk errors. The mitigation protocol is realized in IBMQ Sydney and applied to the certification of entanglement-generating circuits.
  arXiv  Detail & Related papers  (2021-12-20T16:20:49Z)
• Model-Independent Error Mitigation in Parametric Quantum Circuits and Depolarizing Projection of Quantum Noise [1.5162649964542718]
  Finding ground states and low-lying excitations of a given Hamiltonian is one of the most important problems in many fields of physics. quantum computing on Noisy Intermediate-Scale Quantum (NISQ) devices offers the prospect to efficiently perform such computations. Current quantum devices still suffer from inherent quantum noise.
  arXiv  Detail & Related papers  (2021-11-30T16:08:01Z)
• Performance of teleportation-based error correction circuits for bosonic codes with noisy measurements [58.720142291102135]
  We analyze the error-correction capabilities of rotation-symmetric codes using a teleportation-based error-correction circuit. We find that with the currently achievable measurement efficiencies in microwave optics, bosonic rotation codes undergo a substantial decrease in their break-even potential.
  arXiv  Detail & Related papers  (2021-08-02T16:12:13Z)
• Fault-tolerant parity readout on a shuttling-based trapped-ion quantum computer [64.47265213752996]
  We experimentally demonstrate a fault-tolerant weight-4 parity check measurement scheme. We achieve a flag-conditioned parity measurement single-shot fidelity of 93.2(2)%. The scheme is an essential building block in a broad class of stabilizer quantum error correction protocols.
  arXiv  Detail & Related papers  (2021-07-13T20:08:04Z)
• Qubit Readout Error Mitigation with Bit-flip Averaging [0.0]
  We present a scheme to more efficiently mitigate qubit readout errors on quantum hardware. Our scheme removes biases in the readout errors allowing a general error model to be built with far fewer calibration measurements. Our approach can be combined with, and simplify, other mitigation methods allowing tractable mitigation even for large numbers of qubits.
  arXiv  Detail & Related papers  (2021-06-10T15:08:06Z)
• Characterizing mid-circuit measurements on a superconducting qubit using gate set tomography [0.0]
  We show how to characterize mid-circuit measurements modelled by quantum instruments. We then apply this technique to characterize a dispersive measurement on a superconducting transmon qubit within a multiqubit system.
  arXiv  Detail & Related papers  (2021-03-04T13:10:53Z)
• Fault-tolerant Coding for Quantum Communication [71.206200318454]
  encode and decode circuits to reliably send messages over many uses of a noisy channel. For every quantum channel $T$ and every $eps>0$ there exists a threshold $p(epsilon,T)$ for the gate error probability below which rates larger than $C-epsilon$ are fault-tolerantly achievable. Our results are relevant in communication over large distances, and also on-chip, where distant parts of a quantum computer might need to communicate under higher levels of noise.
  arXiv  Detail & Related papers  (2020-09-15T15:10:50Z)
• Minimizing estimation runtime on noisy quantum computers [0.0]
  "engineered likelihood function" (ELF) is used for carrying out Bayesian inference. We show how the ELF formalism enhances the rate of information gain in sampling as the physical hardware transitions from the regime of noisy quantum computers. This technique speeds up a central component of many quantum algorithms, with applications including chemistry, materials, finance, and beyond.
  arXiv  Detail & Related papers  (2020-06-16T17:46:18Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.