From the 1 of 7 linked papers with an AI index.
2 citations · 3 across the 3 of their papers we have counts for
8 papers
Variational simulation of higher-spin systems on qubit-based quantum simulators
Chufan Lyu, Zuoheng Zou, Xusheng Xu +2
The paper proposes a variational framework for simulating higher‑spin (d‑level) models on qubit‑based quantum simulators, using penalty terms to suppress unphysical states and comp…
Quantum Reservoir Computing for Realized Volatility Forecasting
Qingyu Li, Chiranjib Mukhopadhyay, Abolfazl Bayat +1
Recent advances in quantum computing have demonstrated its potential to significantly enhance the analysis and forecasting of complex classical data. Among these, quantum reservoir…
Quantum reservoir computing for predicting and characterizing chaotic maps
Qingyu Li, Chiranjib Mukhopadhyay, Ludovico Minati +1
Quantum reservoir computing has emerged as a promising paradigm for harnessing quantum systems to process temporal data efficiently by bypassing the costly training of gradient-bas…
Enhanced multi-parameter metrology in dissipative Rydberg atom time crystals
Bang Liu, Jun-Rong Chen, Yu Ma +10
The pursuit of unprecedented sensitivity in quantum enhanced metrology has spurred interest in non-equilibrium quantum phases of matter and their symmetry breaking. In particular,…
Mechanisms and Opportunities for Tunable High-Purity Single Photon Emitters: A Review of Hybrid Perovskites and Prospects for Bright Squeezed Vacuum
Galy Yang, Eric Ashallay, Zhiming Wang +2
Single-photon emitters (SPEs) are central to quantum communication, computing, and metrology, yet their development remains constrained by trade-offs in purity, indistinguishabilit…
Enhancing the reachability of variational quantum algorithms via input-state design
Shaojun Wu, Shan Jin, Abolfazl Bayat +1
Variational quantum algorithms (VQAs) face an inherent trade-off between expressivity and trainability: deeper circuits can represent richer states but suffer from noise accumulati…