Papers

Yue Tu, Mark Dubynskyi, Mohammadhossein Mohammadisiahroudi +5 more·Feb 16, 2025

Quantum computing, a prominent non-Von Neumann paradigm beyond Moore's law, can offer superpolynomial speedups for certain problems. Yet its advantages in efficiency for tasks like machine learning remain under investigation, and quantum noise compli...

Kecheng Liu, Zhenyu Cai·Feb 16, 2025

Recent experimental breakthroughs have signalled the imminent arrival of the early fault-tolerant era. However, for a considerable period in the foreseeable future, relying solely on quantum error correction for full error suppression will remain ext...

Vu Tuan Hai, Le Vu Trung Duong, Pham Hoai Luan +1 more·Feb 15, 2025

The quantum machine learning model is emerging as a new model that merges quantum computing and machine learning. Simulating very deep quantum machine learning models requires a lot of resources, increasing exponentially based on the number of qubits...

Zhihao Wu, Lingling Lao, Chengqi Zhuke +6 more·Feb 15, 2025

In the era of noisy intermediate-scale quantum computing, it is of crucial importance to verify quantum processes and extract information. Quantum process tomography is a typical approach, however, both resource-intensive and vulnerable to state prep...

Vu Tuan Hai, Trinh Huynh Ho Thi Mong, Pham Hoai Luan·Feb 15, 2025

With the increasing demand for storing images, traditional image compression methods face challenges in balancing the compressed size and image quality. However, the hybrid quantum-classical model can recover this weakness by using the advantage of q...

M. Lisnichenko, O. Kiselev·Feb 15, 2025

In this work, we present a rigorous accuracy analysis of the quantum Fourier transform (QFT), that identifies three natural sources of accuracy degeneracy: (i) discretization accuracy inherited from classical sampling theory, (ii) accuracy degeneracy...

Charalampos Antonakos·Feb 14, 2025

This paper proposes an interpretation of quantum mechanics, relying on the time-symmetric stochastic dynamics of quantum particles and on non-classical probability theory. Our main purpose is to demonstrate that the wave function and its complex conj...

Cyril Elouard, Sreenath K. Manikandan, Andrew N. Jordan +1 more·Feb 14, 2025

While quantum measurements have been shown to constitute a resource for operating quantum thermal machines, the nature of the energy exchanges involved in the interaction between system and measurement apparatus is still under debate. In this work, w...

Uesli Alushi, Simone Felicetti, Roberto Di Candia·Feb 14, 2025

Digital teleportation protocols make use of entanglement, local measurements and a classical communication channel to transfer quantum states between remote parties. We consider analog teleportation protocols, where classical communication is replace...

Shi-Yu Liu, Lin-Lin Jiang, Hai Zhu +2 more·Feb 14, 2025

The implementation of quantum routers is an important and desired task in quantum information science, since quantum routers are important components of quantum networks. Here, we propose a scheme for implementing single-photon routers in a waveguide...

Ruixia Wang, Yaqing Feng, Yujia Zhang +10 more·Feb 14, 2025

Achieving precise control over quantum systems presents a significant challenge, especially in many-body setups, where residual couplings and unintended transitions undermine the accuracy of quantum operations. In superconducting qubits, parasitic in...

Wei Jie Bryan Lee, Siyi Wang, Suman Dutta +2 more·Feb 14, 2025

The rapid advancement of quantum computing has spurred widespread adoption, with cloud-based quantum devices gaining traction in academia and industry. This shift raises critical concerns about the privacy and security of computations on shared, mult...

Danil S. Kaliakin, Akhil Shajan, Fangchun Liang +1 more·Feb 14, 2025

The sample-based quantum diagonalization (SQD) method shows great promise in quantum-centric simulations of ground state energies in molecular systems. Inclusion of solute–solvent interactions in simulations of electronic structure is critical for bi...

Luis A. Pineda·Feb 14, 2025

Artificial computing machinery transforms representations through an objective process, to be interpreted subjectively by humans, so the machine and the interpreter are different entities, but in the putative natural computing both processes are perf...

Lorena Ballesteros Ferraz, Cyril Elouard·Feb 13, 2025

Understanding the energy cost of quantum measurement process and its connection to the measurement performance faces the challenge of modeling the objectification process. The latter, turns the measurement result into an objective fact, available to ...

Alessandro Sinibaldi, Antonio Francesco Mello, Mario Collura +1 more·Feb 13, 2025

We introduce a methodology to estimate non-stabilizerness or "magic", a key resource for quantum complexity, with Neural Quantum States (NQS). Our framework relies on two schemes based on Monte Carlo sampling to quantify non-stabilizerness via Stabil...

Andi Gu, Lorenzo Leone, Kenneth Goodenough +1 more·Feb 13, 2025

High-fidelity quantum entanglement enables key quantum networking capabilities such as secure communication and distributed quantum computing, but long-distance entanglement distribution is limited by noise and loss. Entanglement distillation protoco...

Aleksandrs Belovs, Stacey Jeffery·Feb 13, 2025

Given an algorithm that outputs the correct answer with bounded error, say $1/3$, it is sometimes desirable to reduce this error to some arbitrarily small $\varepsilon$ -- e.g., if one wants to call the algorithm many times as a subroutine. The usual...

Yue Sun, Tao Shi, Ying Hu·Feb 13, 2025

Non-Hermitian topology has revolutionized our understanding of energy gaps and band topology, unveiling phases that do not exist within the Hermitian framework. Nonetheless, its fundamental implications for quantum interactions in open quantum system...

M. Endo, Takefumi Nomura, T. Sonoyama +12 more·Feb 13, 2025

Generating logical qubits, essential for error detection and correction in quantum computation, remains a critical challenge in continuous-variable (CV) optical quantum information processing. The Gottesman-Kitaev-Preskill (GKP) code is a leading can...