Quantum computing holds substantial potential for applications in biology and medicine,
spanning from the simulation of biomolecules to machine learning methods for subty** …

Quantum state preparation is an important subroutine for quantum computing. We show that
any n-qubit quantum state can be prepared with a Θ (n)-depth circuit using only single-and …

Computational models are an essential tool for the design, characterization, and discovery
of novel materials. Computationally hard tasks in materials science stretch the limits of …

Our world, of course, changed in many other ways as well since the publication of the first
edition. The global pandemic impacted all areas of society and will probably transform how …

Large machine learning models are revolutionary technologies of artificial intelligence
whose bottlenecks include huge computational expenses, power, and time used both in the …

In this paper we propose the Quantum Data Center (QDC), an architecture combining
Quantum Random Access Memory (QRAM) and quantum networks. We give a precise …

A quantum version of data centers might be significant in the quantum era. In this paper, we
introduce Quantum Data Center (QDC)[1], a quantum version of existing classical data …

A photonic transistor that can switch or amplify an optical signal with a single gate photon
requires strong non-linear interaction at the single-photon level. Circuit quantum …

We experimentally demonstrate a microwave quantum storage for two spectral modes of
microwave radiation in an on-chip system of eight coplanar superconducting resonators …

We study quantum interior-point methods (QIPMs) for second-order cone programming
(SOCP), guided by the example use case of portfolio optimization (PO). We provide a …