activity
20172026
most citedOptimized Compilation of Aggregated Instructions for Realistic Quantum Computers

122 citations · 797 across the 38 of their papers we have counts for

collaborators

43 papers

quant-ph2026

Logical Compilation for Multi-Qubit Iceberg Patches

Cordell Mazzetti, Sayam Sethi, Rich Rines +2

Recent advancements in quantum computing have enabled practical use of quantum error detecting and correcting codes. However, current architectures and future proposals of quantum…

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-ph2024★ 1 cited

Fault-Tolerant Operation and Materials Science with Neutral Atom Logical Qubits

Matt. J. Bedalov, Matt Blakely, Peter. D. Buttler +27

We report on the fault-tolerant operation of logical qubits on a neutral atom quantum computer, with logical performance surpassing physical performance for multiple circuits inclu…

quant-ph2024

Programming an Optical Lattice Interferometer

Lennart Maximilian Seifert, Victor E. Colussi, Michael A. Perlin +2

Programming a quantum device describes the usage of quantum logic gates, agnostic of hardware specifics, to perform a sequence of operations with (typically) a computing or sensing…

quant-ph2024

Noise-Aware Circuit Compilations for a Continuously Parameterized Two-Qubit Gateset

Christopher G. Yale, Rich Rines, Victory Omole +9

State-of-the-art noisy-intermediate-scale quantum (NISQ) processors are currently implemented across a variety of hardware platforms, each with their own distinct gatesets. As such…

quant-ph2024★ 5 cited

Efficient Frequency Allocation for Superconducting Quantum Processors Using Improved Optimization Techniques

Zewen Zhang, Pranav Gokhale, Jeffrey M. Larson

Building on previous research on frequency allocation optimization for superconducting circuit quantum processors, this work incorporates several new techniques to improve overall…

quant-ph2024★ 21 cited

A Practical Introduction to Benchmarking and Characterization of Quantum Computers

Akel Hashim, Long B. Nguyen, Noah Goss +16

Rapid progress in quantum technology has transformed quantum computing and quantum information science from theoretical possibilities into tangible engineering challenges. Breakthr…

quant-ph2024★ 47 cited

A universal neutral-atom quantum computer with individual optical addressing and non-destructive readout

A. G. Radnaev, W. C. Chung, D. C. Cole +55

Quantum computers must achieve large-scale, fault-tolerant operation to deliver on their promise of transformational processing power [1-4]. This will require thousands or millions…

quant-ph2024★ 4 cited

Deep Learning for Low-Latency, Quantum-Ready RF Sensing

Pranav Gokhale, Caitlin Carnahan, William Clark +2

Recent work has shown the promise of applying deep learning to enhance software processing of radio frequency (RF) signals. In parallel, hardware developments with quantum RF senso…

quant-ph2024

Average circuit eigenvalue sampling on NISQ devices

Emilio Pelaez, Victory Omole, Pranav Gokhale +4

Average circuit eigenvalue sampling (ACES) was introduced by Flammia in arXiv:2108.05803 as a protocol to characterize the Pauli error channels of individual gates across the devic…

quant-ph2024★ 2 cited

Efficient Generation of Multi-partite Entanglement between Non-local Superconducting Qubits using Classical Feedback

Akel Hashim, Ming Yuan, Pranav Gokhale +8

Quantum entanglement is one of the primary features which distinguishes quantum computers from classical computers. In gate-based quantum computing, the creation of entangled state…

quant-ph2024

Q-CHOP: Quantum constrained Hamiltonian optimization

Michael A. Perlin, Ruslan Shaydulin, Benjamin P. Hall +7

Combinatorial optimization problems that arise in science and industry typically have constraints. Yet the presence of constraints makes them challenging to tackle using both class…

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★ 1 cited

Building Trust in the Quantum Cloud with Physical Unclonable Functions

Behnam Tonekaboni, Pranav Gokhale, Kaitlin N. Smith

As cloud-based quantum computing expands, securing access to quantum hardware is increasingly critical. We present an authentication protocol that leverages intrinsic quantum devic…

quant-ph2023

Superstaq: Deep Optimization of Quantum Programs

Colin Campbell, Frederic T. Chong, Denny Dahl +21

We describe Superstaq, a quantum software platform that optimizes the execution of quantum programs by tailoring to underlying hardware primitives. For benchmarks such as the Berns…

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★ 4 cited

Clifford-based Circuit Cutting for Quantum Simulation

Kaitlin N. Smith, Michael A. Perlin, Pranav Gokhale +5

Quantum computing has potential to provide exponential speedups over classical computing for many important applications. However, today's quantum computers are in their early stag…

quant-ph2023★ 7 cited

QContext: Context-Aware Decomposition for Quantum Gates

Ji Liu, Max Bowman, Pranav Gokhale +4

In this paper we propose QContext, a new compiler structure that incorporates context-aware and topology-aware decompositions. Because of circuit equivalence rules and resynthesis,…

quant-ph2022★ 5 cited

SupercheQ: Quantum Advantage for Distributed Databases

E. R. Anschuetz, P. Gokhale, B. Tonekaboni +18

We introduce Supercheq, a family of quantum protocols that achieves asymptotic advantage over classical protocols for checking the equivalence of files, a task also known as finger…

quant-ph2022★ 13 cited

Hardware-Conscious Optimization of the Quantum Toffoli Gate

Max Aksel Bowman, Pranav Gokhale, Jeffrey Larson +2

While quantum computing holds great potential in combinatorial optimization, electronic structure calculation, and number theory, the current era of quantum computing is limited by…

quant-ph2022

Optimized Quantum Program Execution Ordering to Mitigate Errors in Simulations of Quantum Systems

Teague Tomesh, Kaiwen Gui, Pranav Gokhale +4

Simulating the time evolution of a physical system at quantum mechanical levels of detail -- known as Hamiltonian Simulation (HS) -- is an important and interesting problem across…

quant-ph2022★ 3 cited

Summary: Chicago Quantum Exchange (CQE) Pulse-level Quantum Control Workshop

Kaitlin N. Smith, Gokul Subramanian Ravi, Thomas Alexander +14

Quantum information processing holds great promise for pushing beyond the current frontiers in computing. Specifically, quantum computation promises to accelerate the solving of ce…

quant-ph2022★ 10 cited

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…

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.…