Papers

Alexander Kunitsa, Diksha Dhawan, Stepan Fomichev +3 more·Aug 21, 2025

The dynamic structure factor (DSF) is a central quantity for interpreting a vast array of inelastic scattering experiments in chemistry and materials science, but its accurate simulation poses a considerable challenge for classical computational meth...

Da Zhang, Xin Li, Yibin Guo +3 more·Aug 21, 2025

The rapid development of machine learning and quantum computing has placed quantum machine learning at the forefront of research. However, existing quantum machine learning algorithms based on quantum variational algorithms face challenges in trainab...

Caroline Lima, María Rosa Preciado-Rivas, Sanchit Srivastava·Aug 20, 2025

Contextuality, a key resource for quantum advantage, describes systems in which the outcome of a measurement is not independent of other compatible measurements, in contrast to classical hidden-variable descriptions. We investigate the harvesting of ...

Chen-yi Zhang, Jun Jing·Aug 20, 2025

Nonclassical states of bosonic modes, especially the large number states, are valuable resources for quantum information processing and quantum metrology. It is however intricate to generate a desired Fock state of bosonic systems by unitary protocol...

Jia-Kun Li, Kai Sun, Ze-Yan Hao +7 more·Aug 20, 2025

We present the experimental realisation of a robust CNOT quantum gate using Majorana zero modes simulated on a photonic platform. Three Kitaev chains supporting Majorana zero modes at their endpoints are used to encode two logical qubits, and both in...

Chloé Vernière, Raphaël Guitter, Baptiste Courme +1 more·Aug 20, 2025

Scattering in complex media scrambles light, thus obscuring images and limiting applications from astronomy to microscopy. Existing computational and wavefront-shaping methods treat scattering as a linear optical-wave inversion problem that aims to r...

Emanuele Ricci, Francesco Monzani, Luca Nigro +1 more·Aug 20, 2025

Quantum reservoir computing has emerged as a promising machine learning paradigm for processing temporal data on near-term quantum devices, as it allows for exploiting the large computational capacity of the qubits without suffering from typical issu...

Jia-Jin Feng, Quntao Zhuang·Aug 19, 2025

Random quantum states are essential for quantum information science, with applications ranging from quantum computing to cryptography. Prior approaches for generating these states often rely on using a large bath to thermalize a smaller system, with ...

M. Aliakbarpour, Vladimir Braverman, Nai-Hui Chia +1 more·Aug 19, 2025

Quantum state learning is a fundamental problem in physics and computer science. As near-term quantum devices are error-prone, it is important to design error-resistant algorithms. Apart from device errors, other unexpected factors could also affect ...

Mojtaba Shahbazi, Mehdi Sadeghi·Aug 18, 2025

Within the "complexity=anything" proposal of holography, the complexity growth rate (CGR) can exhibit jumps, interpreted as phase transitions. We demonstrate that the location and amplitude of these jumps are governed by the dynamics of bulk fields, ...

Chao Wang, Peng Zhou, Xi-Ning Zhuang +4 more·Aug 18, 2025

Efficient encoding of classical information plays a fundamental role in numerous practical quantum algorithms. However, the preparation of an arbitrary amplitude-encoded state has been proven to be time-consuming, and its deployment on current noisy ...

Dawid Paszko, M. Szyniszewski, Arijeet Pal·Aug 18, 2025

Phases of matter with volume-law entanglement are frequently observed in quantum circuits and have numerous applications, ranging from deepening our understanding of quantum mechanics to advancements in quantum computing and cryptography. Their capac...

Yanjun Hou, Juncheng Hua, Ze Wu +6 more·Aug 17, 2025

Physical reservoir computing provides a powerful machine learning paradigm that exploits nonlinear physical dynamics for efficient information processing. By incorporating quantum effects, quantum reservoir computing offers superior potential for mac...

Param Pathak, K. Tarakeshwar, Syed Sufiyan Ali +2 more·Aug 17, 2025

Quantum computing is being increasingly adopted for solving classically intractable problems across various domains. However, the availability of accessible and scalable software frameworks remains essential for practical experimentation and adoption...

Mao Kaneyasu, Yoshihiko Hasegawa·Aug 16, 2025

Entanglement and magic are among the most fundamental properties unique to quantum systems. Each quantity captures a different aspect of non-classical behavior, and each can be regarded as a resource within its own operational setting. However, the i...

D. Hu, Weizhou Cai, Chang-Ling Zou +1 more·Aug 16, 2025

Bosonic systems offer unique advantages for quantum error correction, as a single bosonic mode provides a large Hilbert space to redundantly encode quantum information. However, previous studies have been limited to exploiting symmetries in the quadr...

Philip A. LeMaitre·Aug 15, 2025

Quantum contextuality is the notion that certain measurement scenarios do not admit a global description of their statistics and has been implicated as the source of quantum advantage in a number of quantum information protocols. It has been shown th...

Ben Foxman, Natalie Parham, Francisca Vasconcelos +1 more·Aug 15, 2025

Random unitaries are a central object of study in quantum information, with applications to quantum computation, quantum many-body physics, and quantum cryptography. Recent work has constructed unitary designs and pseudorandom unitaries (PRUs) using ...

Zhiling Wang, Takeaki Miyamura, Yoshiki Sunada +4 more·Aug 14, 2025

Cluster states are a class of multi-qubit entangled states with broad applications such as quantum metrology and one-way quantum computing. Here, we present a protocol to generate frequency-bin-encoded dual-rail cluster states using a superconducting...

Soumit Roy, Md Rahil Miraj, Chittaranjan Hens +3 more·Aug 14, 2025

Binary tree network, being a subclass of Cayley tree network, is a significant topological structure used for information transfer in a hierarchical sense. In this article, we consider four types of binary tree repeater networks (directed and undirec...