48 citations · 200 across the 10 of their papers we have counts for
10 papers
From Bits to Qubits: The Theory and Practice of Quantum Data Encoding
Xiao-Ming Zhang, Arthur G. Rattew, Bujiao Wu +4
Encoding classical data into quantum systems is a foundational step in the execution of nearly all quantum algorithms, and a critical bottleneck in realizing practical quantum adva…
Accelerating Inference for Multilayer Neural Networks with Quantum Computers
Arthur G. Rattew, Po-Wei Huang, Naixu Guo +2
Fault-tolerant Quantum Processing Units (QPUs) promise to deliver exponential speed-ups in select computational tasks, yet their integration into modern deep learning pipelines rem…
Non-Linear Transformations of Quantum Amplitudes: Exponential Improvement, Generalization, and Applications
Arthur G. Rattew, Patrick Rebentrost
Quantum algorithms manipulate the amplitudes of quantum states to find solutions to computational problems. In this work, we present a framework for applying a general class of non…
QRAM: A Survey and Critique
Samuel Jaques, Arthur G. Rattew
Quantum random-access memory (QRAM) is a mechanism to access data (quantum or classical) based on addresses which are themselves a quantum state. QRAM has a long and controversial…
Constrained Optimization via Quantum Zeno Dynamics
Dylan Herman, Ruslan Shaydulin, Yue Sun +6
Constrained optimization problems are ubiquitous in science and industry. Quantum algorithms have shown promise in solving optimization problems, yet none of the current algorithms…
Preparing Arbitrary Continuous Functions in Quantum Registers With Logarithmic Complexity
Arthur G. Rattew, Bálint Koczor
Quantum computers will be able solve important problems with significant polynomial and exponential speedups over their classical counterparts, for instance in option pricing in fi…
Quantum Machine Learning for Finance
Marco Pistoia, Syed Farhan Ahmad, Akshay Ajagekar +10
Quantum computers are expected to surpass the computational capabilities of classical computers during this decade, and achieve disruptive impact on numerous industry sectors, part…
On the Exponential Sample Complexity of the Quantum State Sign Estimation Problem
Arthur G. Rattew, Marco Pistoia
We demonstrate that the ability to estimate the relative sign of an arbitrary -qubit quantum state (with real amplitudes), given only copies of that state, would yield a $kn…
The Efficient Preparation of Normal Distributions in Quantum Registers
Arthur G. Rattew, Yue Sun, Pierre Minssen +1
The efficient preparation of input distributions is an important problem in obtaining quantum advantage in a wide range of domains. We propose a novel quantum algorithm for the eff…
A Domain-agnostic, Noise-resistant, Hardware-efficient Evolutionary Variational Quantum Eigensolver
Arthur G. Rattew, Shaohan Hu, Marco Pistoia +2
Variational quantum algorithms have shown promise in numerous fields due to their versatility in solving problems of scientific and commercial interest. However, leading algorithms…