Tootfinder

Physiknobelpreis für Erfinder von Quantenchips
Für die Entwicklung von quantenmechanischen Schaltkreisen erhalten drei US-Forscher in diesem Jahr den Nobelpreis für Physik.
https://www.heise.de…

Quantum State Preparation Of Multiconfigurational States For Quantum Chemistry
Gabriel Greene-Diniz, Georgia Prokopiou, David Zsolt Manrique, David Mu\~noz Ramo
https://arxiv.org/abs/2508.05390

Quantum State Preparation Of Multiconfigurational States For Quantum Chemistry
The ability to prepare states for quantum chemistry is a promising feature of quantum computers, and efficient techniques for chemical state preparation is an active area of research. In this paper, we implement and investigate two methods of quantum circuit preparation for multiconfigurational states for quantum chemical applications. It has previously been shown that controlled Givens rotations are universal for quantum chemistry. To prepare a selected linear combination of Slater determinant…

Etwas mehr der heute besonders häufig geteilten #News:
Signal sichert seine Chats gegen Quantencomputer
https://www.

Optimizing quantum transport via the quantum Doob transform
Dolores Esteve, Carlos P\'erez-Espigares, Ricardo Guti\'errez, Daniel Manzano
https://arxiv.org/abs/2508.04622

Optimizing quantum transport via the quantum Doob transform
Quantum transport plays a central role in both fundamental physics and the development of quantum technologies. While significant progress has been made in understanding transport phenomena in quantum systems, methods for optimizing transport properties remain limited, particularly in complex quantum networks. Building on recent advances in classical network optimization via the generalized Doob transform, we introduce a novel method that extends this approach to quantum networks. Our framework…

Model-based framework for automated quantification of error sources in quantum state tomography
Junpei Oba, Hsin-Pin Lo, Yasuhiro Yamada, Takayuki Matsui, Takuya Ikuta, Yuya Yonezu, Toshimori Honjo, Seiji Kajita, Hiroki Takesue
https://arxiv.org/abs/2508.05538

Model-based framework for automated quantification of error sources in quantum state tomography
High-quality quantum state generation is essential for advanced quantum information processing, including quantum communication, quantum sensing, and quantum computing. In practice, various error sources degrade the quality of quantum states, and quantum state tomography (QST) is a standard diagnostic tool. However, in QST, multiple error sources gather in a single density matrix, making it difficult to identify individual error sources. To address this problem, we propose an automated method f…

Secure Quantum Key Distribution via Entangled Quantum Walkers
Chia-Tso Lai
https://arxiv.org/abs/2508.05593 https://arxiv.org/pdf/2508.05593

Secure Quantum Key Distribution via Entangled Quantum Walkers
Quantum Key Distribution (QKD) is an emerging cryptographic method designed for secure key sharing. Its security is theoretically guaranteed by fundamental principles of quantum mechanics, making it a leading candidate for future communication protocols. Quantum Random Walks (QRWs), on the other hand, are quantum processes that exhibit intriguing phenomena such as interference and superposition, enabling the generation of decentralized and asymmetric probability distributions. Inspired by both …

On the convergence of the variational quantum eigensolver and quantum optimal control
Marco Wiedmann, Daniel Burgarth, Gunther Dirr, Thomas Schulte-Herbr\"uggen, Emanuel Malvetti, Christian Arenz
https://arxiv.org/abs/2509.05295

On the convergence of the variational quantum eigensolver and quantum optimal control
When does a variational quantum algorithm converge to a globally optimal problem solution? Despite the large literature around variational approaches to quantum computing, the answer is largely unknown. We address this open question by developing a convergence theory for the variational quantum eigensolver (VQE). By leveraging the terminology of quantum control landscapes, we prove a sufficient criterion that characterizes when convergence to a ground state of a Hamiltonian can be guaranteed fo…

Hybrid Quantum--Classical Machine Learning Potential with Variational Quantum Circuits
Soohaeng Yoo Willow, D. ChangMo Yang, Chang Woo Myung
https://arxiv.org/abs/2508.04098 htt…

Hybrid Quantum--Classical Machine Learning Potential with Variational Quantum Circuits
Quantum algorithms for simulating large and complex molecular systems are still in their infancy, and surpassing state-of-the-art classical techniques remains an ever-receding goal post. A promising avenue of inquiry in the meanwhile is to seek practical advantages through hybrid quantum-classical algorithms, which combine conventional neural networks with variational quantum circuits (VQCs) running on today's noisy intermediate-scale quantum (NISQ) hardware. Such hybrids are well suited to NIS…

Quantum Circuit Benchmarking on IBM Brisbane: Performance Insights from Superconducting Qubit Models
J. Thirunirai Selvam, S. Saravana Veni
https://arxiv.org/abs/2508.05331 http…

Quantum Circuit Benchmarking on IBM Brisbane: Performance Insights from Superconducting Qubit Models
This paper investigates quantum communication using superconducting qubits, emphasizing the simulation and control of quantum systems via IBM Brisbane quantum processor. We focus on implementing fundamental quantum gates and analyzing the evolution of entangled states, which are essential for secure and reliable information transfer. The study highlights the role of entanglement as a critical resource in quantum communication, enabling secure connectivity across quantum networks. Simulations in…

Generalized Quantum Hadamard Test for Machine Learning
Vivek Mehta, Arghya Choudhury, Utpal Roy
https://arxiv.org/abs/2508.04065 https://arxiv.org/pdf/2508…

Generalized Quantum Hadamard Test for Machine Learning
Quantum machine learning models are designed for performing learning tasks. Some quantum classifier models are proposed to assign classes of inputs based on fidelity measurements. Quantum Hadamard test is a well-known quantum algorithm for computing these fidelities. However, the basic requirement for deploying the quantum Hadamard test maps input space to L2-normalize vector space. Consequently, computed fidelities correspond to cosine similarities in mapped input space. We propose a quantum H…