102 citations · 358 across the 30 of their papers we have counts for
31 papers
Stalls and Spequlation: Pipelined Execution for Fault Tolerant Quantum Computation
Aditi Awasthi, Gokul Subramanian Ravi, Jonathan Mark Baker
Fault-tolerant quantum computation requires the coordinated action of three distinct systems: classical control logic, quantum hardware, and classical error decoders. Current sched…
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…
DGR: Tackling Drifted and Correlated Noise in Quantum Error Correction via Decoding Graph Re-weighting
Hanrui Wang, Pengyu Liu, Yilian Liu +4
Quantum hardware suffers from high error rates and noise, which makes directly running applications on them ineffective. Quantum Error Correction (QEC) is a critical technique towa…
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…
One-Time Compilation of Device-Level Instructions for Quantum Subroutines
Aniket S. Dalvi, Jacob Whitlow, Marissa D'Onofrio +5
A large class of problems in the current era of quantum devices involve interfacing between the quantum and classical system. These include calibration procedures, characterization…
Circuit decompositions and scheduling for neutral atom devices with limited local addressability
Natalia Nottingham, Michael A. Perlin, Dhirpal Shah +4
Despite major ongoing advancements in neutral atom hardware technology, there remains limited work in systems-level software tailored to overcoming the challenges of neutral atom q…
VarSaw: Application-tailored Measurement Error Mitigation for Variational Quantum Algorithms
Siddharth Dangwal, Gokul Subramanian Ravi, Poulami Das +3
For potential quantum advantage, Variational Quantum Algorithms (VQAs) need high accuracy beyond the capability of today's NISQ devices, and thus will benefit from error mitigation…
Exploring Ququart Computation on a Transmon using Optimal Control
Lennart Maximilian Seifert, Ziqian Li, Tanay Roy +3
Contemporary quantum computers encode and process quantum information in binary qubits (d = 2). However, many architectures include higher energy levels that are left as unused com…
Qompress: Efficient Compilation for Ququarts Exploiting Partial and Mixed Radix Operations for Communication Reduction
Andrew Litteken, Lennart Maximilian Seifert, Jason Chadwick +3
Quantum computing is in an era of limited resources. Current hardware lacks high fidelity gates, long coherence times, and the number of computational units required to perform mea…
Communication Trade Offs in Intermediate Qudit Circuits
Andrew Litteken, Jonathan M. Baker, Frederic T. Chong
Quantum computing promises speedup of classical algorithms in the long term. Current hardware is unable to support this goal and programs must be efficiently compiled to use of the…
Reducing Runtime Overhead via Use-Based Migration in Neutral Atom Quantum Architectures
Andrew Litteken, Jonathan M. Baker, Frederic T. Chong
Neutral atoms are a promising choice for scalable quantum computing architectures. Features such as long distance interactions and native multiqubit gates offer reductions in commu…
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…
Scaling Superconducting Quantum Computers with Chiplet Architectures
Kaitlin N. Smith, Gokul Subramanian Ravi, Jonathan M. Baker +1
Fixed-frequency transmon quantum computers (QCs) have advanced in coherence times, addressability, and gate fidelities. Unfortunately, these devices are restricted by the number of…
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…
Let Each Quantum Bit Choose Its Basis Gates
Sophia Fuhui Lin, Sara Sussman, Casey Duckering +5
Near-term quantum computers are primarily limited by errors in quantum operations (or gates) between two quantum bits (or qubits). A physical machine typically provides a set of ba…
Navigating the dynamic noise landscape of variational quantum algorithms with QISMET
Gokul Subramanian Ravi, Kaitlin N. Smith, Jonathan M. Baker +5
Transient errors from the dynamic NISQ noise landscape are challenging to comprehend and are especially detrimental to classes of applications that are iterative and/or long-runnin…
Better Than Worst-Case Decoding for Quantum Error Correction
Gokul Subramanian Ravi, Jonathan M. Baker, Arash Fayyazi +4
The overheads of classical decoding for quantum error correction on superconducting quantum systems grow rapidly with the number of logical qubits and their correction code distanc…
Time-Efficient Qudit Gates through Incremental Pulse Re-seeding
Lennart Maximilian Seifert, Jason Chadwick, Andrew Litteken +2
Current efforts to build quantum computers focus mainly on the two-state qubit, which often involves suppressing readily-available higher states. In this work, we break this abstra…
CAFQA: A classical simulation bootstrap for variational quantum algorithms
Gokul Subramanian Ravi, Pranav Gokhale, Yi Ding +7
This work tackles the problem of finding a good ansatz initialization for Variational Quantum Algorithms (VQAs), by proposing CAFQA, a Clifford Ansatz For Quantum Accuracy. The CAF…
Exploiting Long-Distance Interactions and Tolerating Atom Loss in Neutral Atom Quantum Architectures
Jonathan M. Baker, Andrew Litteken, Casey Duckering +3
Quantum technologies currently struggle to scale beyond moderate scale prototypes and are unable to execute even reasonably sized programs due to prohibitive gate error rates or co…
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…
Error Mitigation in Quantum Computers through Instruction Scheduling
Kaitlin N. Smith, Gokul Subramanian Ravi, Prakash Murali +4
Quantum systems have potential to demonstrate significant computational advantage, but current quantum devices suffer from the rapid accumulation of error that prevents the storage…
Orchestrated Trios: Compiling for Efficient Communication in Quantum Programs with 3-Qubit Gates
Casey Duckering, Jonathan M. Baker, Andrew Litteken +1
Current quantum computers are especially error prone and require high levels of optimization to reduce operation counts and maximize the probability the compiled program will succe…
TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture
Xin-Chuan Wu, Dripto M. Debroy, Yongshan Ding +4
Trapped-ion qubits are a leading technology for practical quantum computing. In this work, we present an architectural analysis of a linear-tape architecture for trapped ions. In o…