Papers

R. Otxoa, Josu Etxezarreta Martinez, Paul Schnabl +3 more·Apr 4, 2025

Semiconductor spin qubits are an attractive quantum computing platform that offers long qubit coherence times and compatibility with existing semiconductor fabrication technology for scale up. Here, we propose a spin-qubit architecture based on spinl...

Suyash Bajpai, M. Aono, Philip Kurian·Apr 4, 2025

The plasmodium of the true slime mold Physarum polycephalum serves as a platform to study information processing in non-equilibrium active matter, showing complex oscillations and computation despite its simple morphology. Past experiments used Physa...

L. Pau·Apr 4, 2025

As a step in the architectural design of a quantum processing or sensing system with control and signaling, an attempt is made at putting in parallel functional properties of the random flows between neurons through electrical synapses, and quantum p...

P. Sethi, O. Prakash, J. Kaikkonen +15 more·Apr 4, 2025

Superconducting qubits in today's quantum processing units are typically fabricated with angle-evaporated aluminum--aluminum-oxide--aluminum Josephson junctions. However, there is an urgent need to overcome the limited reproducibility of this approac...

Yash Prabhat, S. Thakur, Ankur Raina·Apr 4, 2025

We introduce a structured quantum search algorithm that leverages entanglement maps and a fixed-point method to minimize oracle query complexity in unsorted datasets. By partitioning qubits into rows based on their entanglement order, the algorithm e...

Ziqing Guo, Jan Balewski, Ziwen Pan·Apr 4, 2025

The rapid execution of complex quantum circuit simulations is essential for validating theoretical algorithms, thereby facilitating their successful implementation on quantum hardware. Although mainstream CPU-based platforms for circuit simulations a...

Amol Deshmukh·Apr 4, 2025

We propose a novel quantum neural network architecture for unsupervised learning of classical and quantum data based on the kernelized version of Kohonen's self-organizing map. The central idea behind our algorithm is to replace the Euclidean distanc...

T. Koch, David E. Bernal Neira, Ying Chen +24 more·Apr 4, 2025

Through recent progress in hardware development, quantum computers have advanced to the point where benchmarking of (heuristic) quantum algorithms at scale is within reach. Particularly in combinatorial optimization - where most algorithms are heuris...

Yu-Min Hu, Jan Carl Budich·Apr 3, 2025

Spectral degeneracies in Liouvillian generators of dissipative dynamics generically occur as exceptional points, where the corresponding non-Hermitian operator becomes non-diagonalizable. Steady states, i.e. zero-modes of Liouvillians, are considered...

Jia-Xin Zhong, Bitan Roy, Yun Jing·Apr 3, 2025

The confluence of non-Hermitian (NH) topology and crystal defects has culminated significant interest, yet its experimental exploration has been limited due to the challenges involved in design and measurements. Here, we showcase experimental observa...

M. Sohaib Alam, Jun Zen, Thomas R. Scruby·Apr 3, 2025

We identify a period-4 measurement schedule for the checks of the Bacon-Shor code that fully covers spacetime with constant-weight detectors, and is numerically observed to provide the code with a threshold. Unlike previous approaches, our method doe...

Sarang Gopalakrishnan, Ewan McCulloch, Romain Vasseur·Apr 3, 2025

We introduce a hydrodynamic framework for describing monitored classical stochastic processes. We study the conditional ensembles for these monitored processes -- i.e., we compute spacetime correlation functions conditioned on a fixed, typical measur...

Gonzalo Camacho, Benedikt Fauseweh·Apr 3, 2025

Distinguishing quantum states with minimal sampling overhead is of fundamental importance to teach quantum data to an algorithm. Recently, the quantum Wasserstein distance emerged from the theory of quantum optimal transport as a promising tool in th...

Mingyu Kang, Yingjia Lin, Hanwen Yao +3 more·Apr 3, 2025

To achieve quantum fault tolerance with lower overhead, quantum low-density parity-check (QLDPC) codes have emerged as a promising alternative to topological codes such as the surface code, offering higher code rates. To support their study, an end-t...

Kristan Temme, Pawel Wocjan·Apr 3, 2025

We present a novel approach to quantizing Markov chains. The approach is based on the Markov chain coupling method, which is frequently used to prove fast mixing. Given a particular coupling, e.g., a grand coupling, we construct a completely positive...

Yikang Zhang, Thomas Barthel·Apr 3, 2025

Markovian open quantum systems are described by the Lindblad master equation $\partial_tρ=\mathcal{L}(ρ)$, where $ρ$ denotes the system's density operator and $\mathcal{L}$ the Liouville super-operator, which is also known as the Liouvillian. For sys...

Yuhan Zheng, Yibin Guo, Huili Zhang +5 more·Apr 3, 2025

Current noisy intermediate-scale quantum (NISQ) devices remain limited in their ability to perform accurate quantum chemistry simulations due to restricted numbers of high-fidelity qubits and short coherence times. To overcome these challenges, we in...

Shantanav Chakraborty, Soumyabrata Hazra, Tongyang Li +3 more·Apr 3, 2025

We develop new algorithms for Quantum Singular Value Transformation (QSVT), a unifying framework that encapsulates most known quantum algorithms and serves as the foundation for new ones. Existing implementations of QSVT rely on block encoding, incur...

Shoham Jacoby, Yotam Vaknin, A. Retzker +1 more·Apr 3, 2025

Erasure qubits constitute a promising approach for tackling the daunting resources required for fault-tolerant quantum computing. By heralding erasure errors, both the error-correction threshold and the sub-threshold scaling of the logical error rate...

Tianrui Zou, Yuan Fang, Jing Wang +8 more·Apr 3, 2025

In emerging quantum-classical integration applications, the classical time cost-especially from compilation and protocol-level communication often exceeds the execution time of quantum circuits themselves, posing a severe bottleneck to practical depl...