15 papers · ranked by Valyu relevance
Ji‐Yong Sung, Jae‐Ho Cheong
2.1### Fundamentals of quantum information Quantum computing is built upon fundamental principles of quantum mechanics-superposition, entanglement and interference-which enable computational capabilities far beyond those of classical systems. Unlike classical bits, which represent either 0 or 1, quantum bits (qubits)…
Roozbeh Razavi-Far, Mohammad Meymani, Erfan Mahmoudinia, Dorsa Vazirzade + 5 more
Machine learning has revolutionized numerous industrial domains. Despite recent advances, machine learning models remain vulnerable to adversarial threats. Adversarial machine learning is a field that studies these vulnerabilities to build robust machine learning models. Quantum machine learning is an interdisciplinary…
Caiseal Beardow, Pieter Jan Stappers
In recent years, the quantum computing industry has seen significant investment and growth. However, this burgeoning industry faces a persistent labour gap: individuals with computing expertise, an understanding of quantum principles, and the ability to apply these principles to computing practices, are in increasing…
Kang-Min Hu, Min Namkung, Hyang-Tag Lim
Quantum computers have the potential to deliver speed-ups for solving certain important problems that are intractable for classical counterparts, making them a promising avenue for advancing modern computation. However, many quantum algorithms require deep quantum circuits, which are challenging to implement on current…
Jing Li, Leyi Wei, Henry H Y Tong, Quan Zou
In early drug discovery, virtual screening based on deep learning, virtual screening based on molecular docking, and molecular dynamics are three widely used computational strategies, but they always face a trade-off between throughput, search stability, and physical fidelity. This article discusses how quantum…
Lukas Brenner, Libor Caha, Xavier Coiteux-Roy, Robert Koenig
A common starting point of traditional quantum algorithm design is the notion of a universal quantum computer with a scalable number of qubits. This convenient abstraction mirrors classical computations manipulating bits. It allows for a device-independent development of algorithmic primitives. Here we argue that an…
Hong-Zhe Yang, Jian-Peng Dou, Feng Lu, Xiao-Wen Shang + 4 more
In-memory computing, which enables computation directly within memory, represents an efficient approach to processing massively parallel computation tasks that are intractable for conventional computers. However, implementations of in-memory computing have been primarily limited to the classical regime, with its…
Denis A. Drozhzhin, Evgeniy O. Kiktenko, Aleksey K. Fedorov, Anastasiia S. Nikolaeva + 1 more
Quantum computation with d-level quantum systems, also known as qudits, benefits from the possibility to use a richer computational space compared to qubits. However, for an arbitrary qudit-based hardware platform, the issue is that a generic qudit operation has to be decomposed into the sequence of native…
Yuri Alexeev, Marwa H. Farag, Taylor L. Patti, Mark E. Wolf + 24 more
Artificial intelligence (AI) advancements over the past few years have had an unprecedented and revolutionary impact across everyday application areas. Its significance also extends to technical challenges within science and engineering, including the nascent field of quantum computing (QC). The counterintuitive nature…
Qi Zhang, Biao Wu, Younghun Kwon
We analyze the power of the recently proposed Lorentz quantum computer (LQC), a theoretical model leveraging hyperbolic bits (hybits) governed by complex Lorentz transformations. We define the complexity class BLQP (bounded-error Lorentz quantum polynomial-time) and demonstrate its equivalence to the complexity class…
Diljot Singh, Omana J., Smrithy G. S.
The rapid commercialization of generative artificial intelligence (AI), along with the maturation of quantum technologies has raised a question: can quantum-powered neural networks become the next major shift in large language model (LLM) technology? This naturally leads to another misconception that quantum systems…
Silvia Muzzioli, Farhana Raheem, Massimiliano Ferrara, Paolo Giudici + 1 more
The paper provides an integrated literature review of recent scientific publications on quantum computing in finance and identifies promising directions for future research on the subject. The review covers seven thematic areas: portfolio optimization, derivative pricing and stochastic volatility, quantum machine…
Mingyuan Hong, Mario A. Quiroz‐Juarez, Riley B. Dawkins, Fatemeh Mostafavi + 7 more
One of the most significant achievements of the second quantum revolution is enabling tasks that are infeasible for classical computers. However, the stringent requirements for quantum resources, along with the presence of noise and losses, impose limitations on technologies for quantum information processing. Here, we…
Jaime S. Buruaga, Alberto Sebastián-Lombraña, Ruben B. Méndez, Rafael J. Vicente + 5 more
Within the Madrid Quantum Communication Infrastructure (MadQCI), a cloud-like, quantum-enabled network scenario has been commissioned to promote the growth of the quantum technology scientific community. This scenario is designed to provide both quantum communication primitives and quantum-enabled services to potential…
Philipp Pfeffer, Peter Brearley, Sylvain Laizet, Jörg Schumacher
The mixing of scalar substances in fluid flows by stirring and diffusion is ubiquitous in natural flows, chemical engineering, and microfluidic drug delivery. Here, we present a spectral quantum algorithm for scalar mixing by solving the advection-diffusion equation in a quantum computational fluid dynamics framework.…