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20212026
most citedCodesign of quantum error-correcting codes and modular chiplets in the presence of defects

17 citations · 34 across the 16 of their papers we have counts for

collaborators

17 papers

quant-ph2026

Staying Sober: A Shot-Free Predictor of Logical Error Rates for Concatenated Quantum Error Correcting Codes

Sayam Sethi, Aditi Awasthi, Maxwell Poster +2

Estimating the logical error rate (LER) of a quantum error-correcting (QEC) code by Monte Carlo sampling takes samples at physical error r…

quant-ph2026

Exploring Asymmetric QEC Code Concatenation

Sayam Sethi, Maxwell Poster, Aditi Awasthi +3

Concatenated quantum error-correcting codes have recently gained popularity because they improve the effective distance of a joint code without requiring the discovery of new codes…

quant-ph2026

X-Z Round Scheduling for the Surface Code with Defects under Biased Noise

Lakshika Rathi, Pau Escofet, Joshua Viszlai +1

Fault-tolerant Quantum Computing (FTQC) relies on Quantum Error Correction (QEC) codes that encode logical qubits across many physical qubits to detect and correct errors. The surf…

quant-ph2026

ADaPT: Adaptive-window Decoding for Practical fault-Tolerance

Tina Oberoi, Joshua Viszlai, Frederic T. Chong

Window decoding, first proposed to reduce decoding complexity for real-time decoding, is an essential component to realize scalable, universal-fault tolerant computation. Prior wor…

quant-ph2026

PropHunt: Automated Optimization of Quantum Syndrome Measurement Circuits

Joshua Viszlai, Satvik Maurya, Swamit Tannu +2

Fault-Tolerant Quantum Computing (FTQC) relies on Quantum Error Correction (QEC) codes to reach error rates necessary for large scale quantum applications. At a physical level, QEC…

quant-ph2025

A manufacturable surface code architecture for spin qubits with fast transversal logic

Jason D. Chadwick, Willers Yang, Joshua Viszlai +1

Spin qubits in silicon quantum dot arrays are a promising quantum computation platform for long-term scalability due to their small qubit footprint and compatibility with advanced…

quant-ph2025

Demonstration of a Logical Architecture Uniting Motion and In-Place Entanglement

Rich Rines, Benjamin Hall, Mariesa H. Teo +35

We demonstrate a logical neutral atom architecture that integrates atom motion with in-place entanglement to achieve lower overheads than entangling-zone approaches. Using a 114-qu…

quant-ph2025

Erasure Minesweeper: exploring hybrid-erasure surface code architectures for efficient quantum error correction

Jason D. Chadwick, Mariesa H. Teo, Joshua Viszlai +2

Dual-rail erasure qubits can substantially improve the efficiency of quantum error correction, allowing lower error rates to be achieved with fewer qubits, but each erasure qubit r…

quant-ph2024

Predictive Window Decoding for Fault-Tolerant Quantum Programs

Joshua Viszlai, Jason D. Chadwick, Sarang Joshi +3

Real-time decoding is a key ingredient in future fault-tolerant quantum systems, yet many decoders are too slow to run in real time. Prior work has shown that parallel window decod…

quant-ph2024★ 2 cited

Averting multi-qubit burst errors in surface code magic state factories

Jason D. Chadwick, Christopher Kang, Joshua Viszlai +2

Fault-tolerant quantum computation relies on the assumption of time-invariant, sufficiently low physical error rates. However, current superconducting quantum computers suffer from…

quant-ph2023

qSIEVE: Efficient qLDPC Memory via Systolic Movement in Atom Arrays

Joshua Viszlai, Willers Yang, Sophia Fuhui Lin +4

As quantum machines have scaled up in their number of qubits, significant research has turned towards increasing their fidelity with quantum error correction codes. Although promis…

quant-ph2023★ 5 cited

An Architecture for Improved Surface Code Connectivity in Neutral Atoms

Joshua Viszlai, Sophia Fuhui Lin, Siddharth Dangwal +2

In order to achieve error rates necessary for advantageous quantum algorithms, Quantum Error Correction (QEC) will need to be employed, improving logical qubit fidelity beyond what…

quant-ph2023

Training Quantum Boltzmann Machines with Coresets

Joshua Viszlai, Teague Tomesh, Pranav Gokhale +2

Recent work has proposed and explored using coreset techniques for quantum algorithms that operate on classical data sets to accelerate the applicability of these algorithms on nea…

quant-ph2023★ 17 cited

Codesign of quantum error-correcting codes and modular chiplets in the presence of defects

Sophia Fuhui Lin, Joshua Viszlai, Kaitlin N. Smith +4

Fabrication errors pose a significant challenge in scaling up solid-state quantum devices to the sizes required for fault-tolerant (FT) quantum applications. To mitigate the resour…

quant-ph2022

Fast Fingerprinting of Cloud-based NISQ Quantum Computers

Kaitlin N. Smith, Joshua Viszlai, Lennart Maximilian Seifert +3

Cloud-based quantum computers have become a reality with a number of companies allowing for cloud-based access to their machines with tens to more than 100 qubits. With easy access…

quant-ph2022★ 10 cited

SupermarQ: A Scalable Quantum Benchmark Suite

Teague Tomesh, Pranav Gokhale, Victory Omole +7

The emergence of quantum computers as a new computational paradigm has been accompanied by speculation concerning the scope and timeline of their anticipated revolutionary changes.…

quant-ph2021

Adapting Quantum Approximation Optimization Algorithm (QAOA) for Unit Commitment

Samantha Koretsky, Pranav Gokhale, Jonathan M. Baker +8

In the present Noisy Intermediate-Scale Quantum (NISQ), hybrid algorithms that leverage classical resources to reduce quantum costs are particularly appealing. We formulate and app…