4 papers
Classical Simulation of Noiseless Quantum Dynamics without Randomness
Jue Xu, Chu Zhao, Xiangran Zhang +2
Simulating noiseless quantum dynamics classically faces a fundamental dilemma: tensor-network methods become inefficient as entanglement saturates, while Pauli-truncation approache…
Learning Hamiltonians in the Heisenberg limit with static single-qubit fields
Shrigyan Brahmachari, Shuchen Zhu, Iman Marvian +1
Learning the Hamiltonian governing a quantum system is a central task in quantum metrology, sensing, and device characterization. Existing Heisenberg-limited Hamiltonian learning p…
State-space gradient descent and metastability in quantum systems
Shuchen Zhu, Yu Tong
We propose a quantum algorithm, inspired by ADAPT-VQE, to variationally prepare the ground state of a quantum Hamiltonian, with the desirable property that if it fails to find the…
Accelerated Natural Gradient Method for Parametric Manifold Optimization
Chenyi Li, Shuchen Zhu, Zhonglin Xie +1
Parametric manifold optimization problems frequently arise in various machine learning tasks, where state functions are defined on infinite-dimensional manifolds. We propose a unif…