activity
20182026
most citedSoftware Mitigation of Crosstalk on Noisy Intermediate-Scale Quantum Computers

257 citations · 1.7k across the 43 of their papers we have counts for

collaborators

46 papers

quant-ph2026

Spacetime mitigation of logical errors

Laurin E. Fischer, Ali Javadi-Abhari, Simon Martiel +1

Error detection can suppress noise at a lower sampling cost than probabilistic error cancellation (PEC), but leaves residual logical errors. We combine the two approaches to mitiga…

quant-ph2026

Sampling hard circuits with verifiably high fidelity

Simon Martiel, Jay-U Chung, Alireza Seif +9

Sampling-based proposals are prominent candidates for demonstrating quantum computations beyond the reach of classical supercomputers. However, it has been difficult to combine the…

quant-ph2026

GeneCS: Synthesizing Resource-Efficient Code Surgery for Arbitrary Quantum Stabilizer Codes

Junyu Zhou, Ali Javadi-Abhari, Gushu Li

Efficiently realizing logical operations on general stabilizer codes remains a long-standing challenge in fault tolerant quantum computing. While code surgery provides a general fr…

cs.ET2026

AlphaSyndrome: Tackling the Syndrome Measurement Circuit Scheduling Problem for QEC Codes

Yuhao Liu, Shuohao Ping, Junyu Zhou +8

Quantum error correction (QEC) is essential for scalable quantum computing, yet repeated syndrome-measurement cycles dominate its spacetime and hardware cost. Although stabilizers…

quant-ph2025

Big cats: entanglement in 120 qubits and beyond

Ali Javadi-Abhari, Simon Martiel, Alireza Seif +2

Entanglement is the quintessential quantum phenomenon and a key enabler of quantum algorithms. The ability to faithfully entangle many distinct particles is often used as a benchma…

quant-ph2025

Theory and Architecture of Syndrome-Resolved Logical Gates

Nobuyuki Yoshioka, Alireza Seif, Peter Groszkowski +2

We introduce a general framework for weak transversal gates, namely syndrome-resolved implementation of logical unitaries realized by local physical unitaries, and demonstrate its…

quant-ph2025

Optimizing the non-Clifford-count in unitary synthesis using Reinforcement Learning

David Kremer, Ali Javadi-Abhari, Priyanka Mukhopadhyay

In this paper we study the potential of using reinforcement learning (RL) in order to synthesize quantum circuits, while optimizing the T-count and CS-count, of unitaries that are…

quant-ph2025

A Framework for Quantum Advantage

Olivia Lanes, Mourad Beji, Antonio D. Corcoles +12

As quantum computing approaches the threshold where certain tasks demonstrably outpace their classical machines, the need for a precise, clear, consensus-driven definition of quant…

quant-ph2025★ 3 cited

Low-overhead error detection with spacetime codes

Simon Martiel, Ali Javadi-Abhari

We introduce a low-overhead approach for detecting errors in arbitrary Clifford circuits on arbitrary qubit connectivities. Our method is based on the framework of spacetime codes,…

quant-ph2025

Basic entanglement distillation with realistic noise

Vikesh Siddhu, Erick Winston, David C. McKay +1

Entanglement distillation is a key component of modular quantum computing and long-range quantum communications. However, this powerful tool to reduce noise in entangled states is…

quant-ph2024★ 1 cited

Architectures for Heterogeneous Quantum Error Correction Codes

Samuel Stein, Shifan Xu, Andrew W. Cross +9

Quantum Error Correction (QEC) is essential for future quantum computers due to its ability to exponentially suppress physical errors. The surface code is a leading error-correctin…

quant-ph2024

Flag Proxy Networks: Tackling the Architectural, Scheduling, and Decoding Obstacles of Quantum LDPC codes

Suhas Vittal, Ali Javadi-Abhari, Andrew W. Cross +2

Quantum error correction is necessary for achieving exponential speedups on important applications. The planar surface code has remained the most studied error-correcting code for…

quant-ph2024★ 20 cited

Benchmarking the performance of quantum computing software

Paul D. Nation, Abdullah Ash Saki, Sebastian Brandhofer +4

We present Benchpress, a benchmarking suite for evaluating the performance and range of functionality of multiple quantum computing software development kits. This suite consists o…

quant-ph2024

Entanglement-enhanced learning of quantum processes at scale

Alireza Seif, Senrui Chen, Swarnadeep Majumder +6

Learning unknown processes affecting a quantum system reveals underlying physical mechanisms and enables suppression, mitigation, and correction of unwanted effects. Describing a g…

quant-ph2024★ 23 cited

Diagonalization of large many-body Hamiltonians on a quantum processor

Nobuyuki Yoshioka, Mirko Amico, William Kirby +16

The estimation of low energies of many-body systems is a cornerstone of computational quantum sciences. Variational quantum algorithms can be used to prepare ground states on pre-f…

quant-ph2024★ 202 cited

Quantum computing with Qiskit

Ali Javadi-Abhari, Matthew Treinish, Kevin Krsulich +9

We describe Qiskit, a software development kit for quantum information science. We discuss the key design decisions that have shaped its development, and examine the software archi…

quant-ph2024★ 91 cited

Chemistry Beyond the Scale of Exact Diagonalization on a Quantum-Centric Supercomputer

Javier Robledo-Moreno, Mario Motta, Holger Haas +14

A universal quantum computer can simulate diverse quantum systems, with electronic structure for chemistry offering challenging problems for practical use cases around the hundred-…

quant-ph2024★ 16 cited

Suppressing Correlated Noise in Quantum Computers via Context-Aware Compiling

Alireza Seif, Haoran Liao, Vinay Tripathi +5

Coherent errors, and especially those that occur in correlation among a set of qubits, are detrimental for large-scale quantum computing. Correlations in noise can occur as a resul…

quant-ph2024★ 1 cited

Bosehedral: Compiler Optimization for Bosonic Quantum Computing

Junyu Zhou, Yuhao Liu, Yunong Shi +2

Bosonic quantum computing, based on the infinite-dimensional qumodes, has shown promise for various practical applications that are classically hard. However, the lack of compiler…

quant-ph2023★ 85 cited

Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

Yuri Alexeev, Maximilian Amsler, Paul Baity +124

Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…

quant-ph2023★ 27 cited

Native two-qubit gates in fixed-coupling, fixed-frequency transmons beyond cross-resonance interaction

Ken Xuan Wei, Isaac Lauer, Emily Pritchett +3

Fixed-frequency superconducting qubits demonstrate remarkable success as platforms for stable and scalable quantum computing. Cross-resonance gates have been the workhorse of fixed…

quant-ph2022★ 8 cited

Exploiting Qubit Reuse through Mid-circuit Measurement and Reset

Fei Hua, Yuwei Jin, Yanhao Chen +6

Quantum measurement is important to quantum computing as it extracts the outcome of the circuit at the end of the computation. Previously, all measurements have to be done at the e…

quant-ph2022★ 10 cited

The Power of One Clean Qubit in Supervised Machine Learning

Mahsa Karimi, Ali Javadi-Abhari, Christoph Simon +1

This paper explores the potential benefits of quantum coherence and quantum discord in the non-universal quantum computing model called deterministic quantum computing with one qub…

quant-ph2022★ 8 cited

Boosting Quantum Fidelity with an Ordered Diverse Ensemble of Clifford Canary Circuits

Gokul Subramanian Ravi, Jonathan M. Baker, Kaitlin N. Smith +3

On today's noisy imperfect quantum devices, execution fidelity tends to collapse dramatically for most applications beyond a handful of qubits. It is therefore imperative to employ…