activity
20222025
most citedQuantum computing hardware for HEP algorithms and sensing

24 citations · 26 across the 6 of their papers we have counts for

collaborators

7 papers

quant-ph2025

Efficient Floating-Point Arithmetic on Fault-Tolerant Quantum Computers

José E. Cruz Serrallés, Oluwadara Ogunkoya, Do{g}a Murat Kürkçüo{g}lu +5

We propose a novel floating-point encoding scheme that builds on prior work involving fixed-point encodings. We encode floating-point numbers using Two's Complement fixed-point man…

quant-ph2025

Ultracoherent superconducting cavity-based multiqudit platform with error-resilient control

Taeyoon Kim, Tanay Roy, Xinyuan You +26

Realizing the promise of quantum computing requires simultaneously increasing Hilbert-space size and coherence times. While qubit-based architectures have long been the dominant pa…

quant-ph2024

An Improved Bound on Nonlinear Quantum Mechanics using a Cryogenic Radio Frequency Experiment

Oleksandr Melnychuk, Bianca Giaccone, Nicholas Bornman +9

There are strong arguments that quantum mechanics may be nonlinear in its dynamics. A discovery of nonlinearity would hint at a novel understanding of the interplay between gravity…

quant-ph2024★ 2 cited

Benchmarking the performance of a high-Q cavity qudit using random unitaries

Nicholas Bornman, Tanay Roy, Joshua A. Job +4

High-coherence cavity resonators are excellent resources for encoding quantum information in higher-dimensional Hilbert spaces, moving beyond traditional qubit-based platforms. A n…

quant-ph2024

Demonstrating the Potential of Adaptive LMS Filtering on FPGA-Based Qubit Control Platforms for Improved Qubit Readout in 2D and 3D Quantum Processing Units

Hans Johnson, Nicholas Bornman, Taeyoon Kim +3

Advancements in quantum computing underscore the critical need for sophisticated qubit readout techniques to accurately discern quantum states. This abstract presents our research…

quant-ph2023

An introduction to financial option pricing on a qudit-based quantum computer

Nicholas Bornman

The financial sector is anticipated to be one of the first industries to benefit from the increased computational power of quantum computers, in areas such as portfolio optimisatio…

quant-ph2022★ 24 cited

Quantum computing hardware for HEP algorithms and sensing

M. Sohaib Alam, Sergey Belomestnykh, Nicholas Bornman +37

Quantum information science harnesses the principles of quantum mechanics to realize computational algorithms with complexities vastly intractable by current computer platforms. Ty…