13 citations · 21 across the 4 of their papers we have counts for
10 papers
Introducing the Quantum Research Kernels: Lessons from Classical Parallel Computing
A. Y. Matsuura, Timothy G. Mattson
Quantum computing represents a paradigm shift for computation requiring an entirely new computer architecture. However, there is much that can be learned from traditional classical…
A Scalable Microarchitecture for Efficient Instruction-Driven Signal Synthesis and Coherent Qubit Control
Nader Khammassi, Randy W. Morris, Shavindra Premaratne +7
Execution of quantum algorithms requires a quantum computer architecture with a dedicated quantum instruction set that is capable of supporting translation of workloads into actual…
An LLVM-based C++ Compiler Toolchain for Variational Hybrid Quantum-Classical Algorithms and Quantum Accelerators
Pradnya Khalate, Xin-Chuan Wu, Shavindra Premaratne +6
Variational algorithms are a representative class of quantum computing workloads that combine quantum and classical computing. This paper presents an LLVM-based C++ compiler toolch…
Entanglement Properties of Quantum Superpositions of Smooth, Differentiable Functions
Adam Holmes, A. Y. Matsuura
We present an entanglement analysis of quantum superpositions corresponding to smooth, differentiable, real-valued (SDR) univariate functions. SDR functions are shown to be scalabl…
Probing many-body localization on a noisy quantum computer
D. Zhu, S. Johri, N. H. Nguyen +5
A disordered system of interacting particles exhibits localized behavior when the disorder is large compared to the interaction strength. Studying this phenomenon on a quantum comp…
Designing high-fidelity multi-qubit gates for semiconductor quantum dots through deep reinforcement learning
Sahar Daraeizadeh, Shavindra P. Premaratne, A. Y. Matsuura
In this paper, we present a machine learning framework to design high-fidelity multi-qubit gates for quantum processors based on quantum dots in silicon, with qubits encoded in the…