Papers

Dor Bitan, S. Dolev·Feb 12, 2023

This paper studies information-theoretically secure quantum homomorphic encryption (QHE) schemes of classical data. Previous works on information-theoretically secure QHE schemes (like Childs'05, Liang'13, and others) are typically based on the Quant...

E. Takou, Edwin Barnes, S. Economou·Feb 11, 2023

Multipartite entangled states are an essential resource for sensing, quantum error correction, and cryptography. Color centers in solids are one of the leading platforms for quantum networking due to the availability of a nuclear spin memory that can...

Hyun-Tae Jeong·Feb 11, 2023

A quantum bit encoding converter between qubits of different forms is experimentally demonstrated, paving the way to efficient networks for optical quantum computing and communication.

Merel A. Schalkers, Matthias Möller·Feb 10, 2023

In recent years, quantum Boltzmann methods have gained more and more interest as they might provide a viable path toward solving fluid dynamics problems on quantum computers once this emerging compute technology has matured and fault-tolerant many-qu...

D. Ahn, Byeongyong Park Department of Electrical, Computer Engineering +4 more·Feb 10, 2023

Reducing the impact of errors and decoherence in near-term quantum computers, such as noisy intermediate-scale quantum (NISQ) devices, is critical for their practical implementation. These factors significantly limit the applicability of quantum algo...

A. Daskin, Rishabh Gupta, S. Kais·Feb 9, 2023

Quantum computers are believed to have the ability to process huge data sizes, which can be seen in machine learning applications. In these applications, the data, in general, are classical. Therefore, to process them on a quantum computer, there is ...

Mayukh Sarkar·Feb 9, 2023

The advent of Quantum Computing has influenced researchers around the world to solve multitudes of computational problems with the promising technology. Feasibility of solutions for computational problems, and representation of various information, m...

G. Wendin·Feb 9, 2023

The last five years have seen a dramatic evolution of platforms for quantum computing, taking the field from physics experiments to quantum hardware and software engineering. Nevertheless, despite this progress of quantum processors, the field is sti...

Dennis Lima, S. Al-kuwari·Feb 9, 2023

Pseudo-unitary circuits are recurring in both S-matrix theory and analysis of No-Go theorems. We propose a matrix and diagrammatic representation for the operation that maps S-matrices to T-matrices and, consequently, a unitary group to a pseudo-unit...

V. Vijendran, Aritra Das, Dax Enshan Koh +2 more·Feb 9, 2023

The quantum approximate optimisation algorithm (QAOA) is a hybrid quantum–classical algorithm used to approximately solve combinatorial optimisation problems. It involves multiple iterations of a parameterised ansatz that consists of a problem and mi...

C. Park, Won Joon Yun, Jae Pyoung Kim +4 more·Feb 9, 2023

This article proposes a novel algorithm, named quantum multiagent actor–critic networks (QMACN) for autonomously constructing a robust mobile access system employing multiple unmanned aerial vehicles (UAVs). In the context of facilitating collaborati...

Kosuke Ito·Feb 9, 2023

Efficient classical optimizers are crucial in practical implementations of Variational Quantum Algorithms (VQAs). In particular, to make Stochastic Gradient Descent (SGD) resource efficient, adaptive strategies have been proposed to determine the num...

A. Mamgain, S. Hawaldar, A. Shankar +1 more·Feb 9, 2023

A superconducting qubit coupled to a read-out resonator is currently the building block of multiple quantum computing as well as quantum optics experiments. A typical qubit-resonator system is coupled in the dispersive regime, where the detuning betw...

Valentin Heyraud, Zejiang Li, Kaelan Donatella +2 more·Feb 9, 2023

Parameterized quantum circuits used as variational ans\"atze are emerging as promising tools to tackle complex problems ranging from quantum chemistry to combinatorial optimization. These variational quantum circuits can suffer from the well-known cu...

Patrick J. Coles·Feb 9, 2023

Many Artificial Intelligence (AI) algorithms are inspired by physics and employ stochastic fluctuations. We connect these physics-inspired AI algorithms by unifying them under a single mathematical framework that we call Thermodynamic AI, including: ...

R. Wille, S. Hillmich, Lukas Burgholzer·Feb 9, 2023

Quantum computing promises to solve some important problems faster than conventional computations ever could. Currently available NISQ devices on which first practical applications are already executed demonstrate the potential -- with future fault-t...

Jie Gu, X. -G. Zhang·Feb 8, 2023

Quantum adiabaticity is the evolution of a quantum system that remains close to an instantaneous eigenstate of a time-dependent Hamiltonian. Using Floquet formalism, we derive a rigorous sufficient condition for adiabaticity in closed, finite-dimensi...

S. Murciano, Pablo Sala, Yue Liu +2 more·Feb 8, 2023

Quantum critical systems constitute appealing platforms for the exploration of novel measurement-induced phenomena due to their innate sensitivity to perturbations. We study the impact of measurement on paradigmatic Ising quantum critical chains usin...

Pablo Díez-Valle, J. Luis-Hita, Senaida Hernández-Santana +6 more·Feb 8, 2023

Combinatorial optimization problems are ubiquitous in industry. In addition to finding a solution with minimum cost, problems of high relevance involve a number of constraints that the solution must satisfy. Variational quantum algorithms (VQAs) have...

Shiya Sun, Brett Marinelli, Jin Ming Koh +7 more·Feb 8, 2023

The quantum computation of molecular response properties on near-term quantum hardware is a topic of substantial interest. Computing these properties directly in the frequency domain is desirable, but the circuits require large depth if the typical h...