Quantum 9, 1667 (2025). https://doi.org/10.22331/q-2025-03-24-1667 We propose an algorithm that combines the inchworm method and the frozen Gaussian approximation to simulate the Caldeira-Leggett model in which a quantum particle is coupled with thermal harmonic baths. […]
Quantum 9, 1666 (2025). https://doi.org/10.22331/q-2025-03-20-1666 Quantum thermodynamics and quantum entanglement represent two pivotal quantum resource theories with significant relevance in quantum information science. Despite their importance, the intricate relationship between these two theories is still […]
Quantum 9, 1665 (2025). https://doi.org/10.22331/q-2025-03-20-1665 Free-fermionic states, also known as matchgates or Gaussian states, are a fundamental class of quantum states due to their efficient classical simulability and their crucial role across various domains of […]
Quantum 9, 1664 (2025). https://doi.org/10.22331/q-2025-03-20-1664 The Bekenstein bound posits a maximum entropy for matter with finite energy confined to a spatial region. It is often interpreted as a fundamental limit on the information that can […]
Quantum 9, 1663 (2025). https://doi.org/10.22331/q-2025-03-20-1663 Current state-of-the-art quantum optimization algorithms require representing the original problem as a binary optimization problem, which is then converted into an equivalent cost Hamiltonian suitable for the quantum device. Implementing […]
Quantum 9, 1662 (2025). https://doi.org/10.22331/q-2025-03-14-1662 The Bell theorem is explored in terms of a trade-off relation between underlying assumptions within the hidden variable model framework. In this paper, recognizing the incorporation of hidden variables as […]
Quantum 9, 1661 (2025). https://doi.org/10.22331/q-2025-03-12-1661 In the NISQ era, where quantum information processing is hindered by the decoherence and dissipation of elementary quantum systems, developing new protocols to extend the lifetime of quantum states is […]
Quantum 9, 1660 (2025). https://doi.org/10.22331/q-2025-03-12-1660 Quantum reinforcement learning (QRL) is a promising paradigm for near-term quantum devices. While existing QRL methods have shown success in discrete action spaces, extending these techniques to continuous domains is […]
Quantum 9, 1659 (2025). https://doi.org/10.22331/q-2025-03-12-1659 This paper presents novel methods for optimizing multi-controlled quantum gates, which naturally arise in high-level quantum programming. Our primary approach involves rewriting $U(2)$ gates as $SU(2)$ gates, utilizing one auxiliary […]
Quantum 9, 1658 (2025). https://doi.org/10.22331/q-2025-03-10-1658 Parametrized quantum circuits (PQC) are quantum circuits which consist of both fixed and parametrized gates. In recent approaches to quantum machine learning (QML), PQCs are essentially ubiquitous and play the […]
Recent Comments