85 citations · 391 across the 44 of their papers we have counts for
42 papers · 1 filter
Clapton: Clifford-Assisted Problem Transformation for Error Mitigation in Variational Quantum Algorithms
Lennart Maximilian Seifert, Siddharth Dangwal, Frederic T. Chong +1
Variational quantum algorithms (VQAs) show potential for quantum advantage in the near term of quantum computing, but demand a level of accuracy that surpasses the current capabili…
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…
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…
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…
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…
DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms
Junyao Zhang, Hanrui Wang, Gokul Subramanian Ravi +4
This paper proposes DISQ to craft a stable landscape for VQA training and tackle the noise drift challenge. DISQ adopts a "drift detector" with a reference circuit to identify and…
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…
Fundamental causal bounds of quantum random access memories
Yunfei Wang, Yuri Alexeev, Liang Jiang +2
Quantum devices should operate in adherence to quantum physics principles. Quantum random access memory (QRAM), a fundamental component of many essential quantum algorithms for tas…
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…
Microarchitectures for Heterogeneous Superconducting Quantum Computers
Samuel Stein, Sara Sussman, Teague Tomesh +12
Noisy Intermediate-Scale Quantum Computing (NISQ) has dominated headlines in recent years, with the longer-term vision of Fault-Tolerant Quantum Computation (FTQC) offering signifi…
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…
Automatic pulse-level calibration by tracking observables using iterative learning
Andy J. Goldschmidt, Frederic T. Chong
Model-based quantum optimal control promises to solve a wide range of critical quantum technology problems within a single, flexible framework. The catch is that highly-accurate mo…
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…
Fault Tolerant Non-Clifford State Preparation for Arbitrary Rotations
Hyeongrak Choi, Frederic T. Chong, Dirk Englund +1
Quantum error correction is an essential component for practical quantum computing on noisy quantum hardware. However, logical operations on error-corrected qubits require a signif…
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…
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…
Dancing the Quantum Waltz: Compiling Three-Qubit Gates on Four Level Architectures
Andrew Litteken, Lennart Maximilian Seifert, Jason D. Chadwick +6
Superconducting quantum devices are a leading technology for quantum computation, but they suffer from several challenges. Gate errors, coherence errors and a lack of connectivity…
Spacetime-Efficient Low-Depth Quantum State Preparation with Applications
Kaiwen Gui, Alexander M. Dalzell, Alessandro Achille +2
We propose a novel deterministic method for preparing arbitrary quantum states. When our protocol is compiled into CNOT and arbitrary single-qubit gates, it prepares an -dimensi…
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,…
Efficient control pulses for continuous quantum gate families through coordinated re-optimization
Jason D. Chadwick, Frederic T. Chong
We present a general method to quickly generate high-fidelity control pulses for any continuously-parameterized set of quantum gates after calibrating a small number of reference p…
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…
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…