activity
20202026
most citedMitiq: A software package for error mitigation on noisy quantum computers

123 citations · 370 across the 12 of their papers we have counts for

collaborators

14 papers

quant-ph2026

Onset of Ergodicity Across Scales on a Digital Quantum Processor

Faisal Alam, Marcos Crichigno, Elizabeth Crosson +7

Understanding how isolated quantum many-body systems thermalize remains a central question in modern physics. We study the onset of ergodicity in a two-dimensional disordered Heise…

cs.ET2023★ 4 cited

Thermodynamic Computing System for AI Applications

Denis Melanson, Mohammad Abu Khater, Maxwell Aifer +7

Recent breakthroughs in artificial intelligence (AI) algorithms have highlighted the need for novel computing hardware in order to truly unlock the potential for AI. Physics-based…

quant-ph2023★ 16 cited

The Bethe Ansatz as a Quantum Circuit

Roberto Ruiz, Alejandro Sopena, Max Hunter Gordon +2

The Bethe ansatz represents an analytical method enabling the exact solution of numerous models in condensed matter physics and statistical mechanics. When a global symmetry is pre…

cond-mat.stat-mech2023

Thermodynamic Linear Algebra

Maxwell Aifer, Kaelan Donatella, Max Hunter Gordon +5

Linear algebraic primitives are at the core of many modern algorithms in engineering, science, and machine learning. Hence, accelerating these primitives with novel computing hardw…

quant-ph2022★ 10 cited

Resource frugal optimizer for quantum machine learning

Charles Moussa, Max Hunter Gordon, Michal Baczyk +3

Quantum-enhanced data science, also known as quantum machine learning (QML), is of growing interest as an application of near-term quantum computers. Variational QML algorithms hav…

quant-ph2022★ 20 cited

Inference-Based Quantum Sensing

C. Huerta Alderete, Max Hunter Gordon, Frederic Sauvage +4

In a standard Quantum Sensing (QS) task one aims at estimating an unknown parameter , encoded into an -qubit probe state, via measurements of the system. The success of this…

quant-ph2022★ 12 cited

The battle of clean and dirty qubits in the era of partial error correction

Daniel Bultrini, Samson Wang, Piotr Czarnik +4

When error correction becomes possible it will be necessary to dedicate a large number of physical qubits to each logical qubit. Error correction allows for deeper circuits to be r…

quant-ph2022

Covariance matrix preparation for quantum principal component analysis

Max Hunter Gordon, M. Cerezo, Lukasz Cincio +1

Principal component analysis (PCA) is a dimensionality reduction method in data analysis that involves diagonalizing the covariance matrix of the dataset. Recently, quantum algorit…

quant-ph2022★ 38 cited

Algebraic Bethe Circuits

Alejandro Sopena, Max Hunter Gordon, Diego García-Martín +2

The Algebraic Bethe Ansatz (ABA) is a highly successful analytical method used to exactly solve several physical models in both statistical mechanics and condensed-matter physics.…

quant-ph2021★ 39 cited

Unifying and benchmarking state-of-the-art quantum error mitigation techniques

Daniel Bultrini, Max Hunter Gordon, Piotr Czarnik +4

Error mitigation is an essential component of achieving a practical quantum advantage in the near term, and a number of different approaches have been proposed. In this work, we re…

quant-ph2021★ 25 cited

Simulating quench dynamics on a digital quantum computer with data-driven error mitigation

Alejandro Sopena, Max Hunter Gordon, Germán Sierra +1

Error mitigation is likely to be key in obtaining near term quantum advantage. In this work we present one of the first implementations of several Clifford data regression based me…

quant-ph2020

Simple Mitigation Strategy for a Systematic Gate Error in IBMQ

Daniel Bultrini, Max Hunter Gordon, Esperanza López +1

We report the observation and characterisation of a systematic error in the implementation of gates in the IBM quantum computers. The error appears as a consistent shift in o…

quant-ph2020★ 83 cited

Unified approach to data-driven quantum error mitigation

Angus Lowe, Max Hunter Gordon, Piotr Czarnik +3

Achieving near-term quantum advantage will require effective methods for mitigating hardware noise. Data-driven approaches to error mitigation are promising, with popular examples…

quant-ph2020★ 123 cited

Mitiq: A software package for error mitigation on noisy quantum computers

Ryan LaRose, Andrea Mari, Sarah Kaiser +16

We introduce Mitiq, a Python package for error mitigation on noisy quantum computers. Error mitigation techniques can reduce the impact of noise on near-term quantum computers with…