Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Characterizing barren plateaus in quantum ansätze with the adjoint representation
Variational quantum algorithms, a popular heuristic for near-term quantum computers, utilize
parameterized quantum circuits which naturally express Lie groups. It has been postulated …
parameterized quantum circuits which naturally express Lie groups. It has been postulated …
Variational quantum simulation: a case study for understanding warm starts
The barren plateau phenomenon, characterized by loss gradients that vanish exponentially
with system size, poses a challenge to scaling variational quantum algorithms. Here we …
with system size, poses a challenge to scaling variational quantum algorithms. Here we …
Computing exact moments of local random quantum circuits via tensor networks
A basic primitive in quantum information is the computation of the moments EU [Tr [U ρ U†
O] t]. These describe the distribution of expectation values obtained by sending a state ρ …
O] t]. These describe the distribution of expectation values obtained by sending a state ρ …
Towards large-scale quantum optimization solvers with few qubits
Quantum computers hold the promise of more efficient combinatorial optimization solvers,
which could be game-changing for a broad range of applications. However, a bottleneck for …
which could be game-changing for a broad range of applications. However, a bottleneck for …
Quantum algorithms for scientific computing
Quantum computing promises to provide the next step up in computational power for diverse
application areas. In this review, we examine the science behind the quantum hype, and the …
application areas. In this review, we examine the science behind the quantum hype, and the …
Equivariant Variational Quantum Eigensolver to detect phase transitions through energy level crossings
Level spectroscopy stands as a powerful method for identifying the transition point that
delineates distinct quantum phases. Since each quantum phase exhibits a characteristic …
delineates distinct quantum phases. Since each quantum phase exhibits a characteristic …
Trainability and expressivity of hamming-weight preserving quantum circuits for machine learning
Quantum machine learning (QML) has become a promising area for real world applications
of quantum computers, but near-term methods and their scalability are still important …
of quantum computers, but near-term methods and their scalability are still important …
Symmetry-invariant quantum machine learning force fields
Abstract Machine learning techniques are essential tools to compute efficient, yet accurate,
force fields for atomistic simulations. This approach has recently been extended to …
force fields for atomistic simulations. This approach has recently been extended to …
Design and execution of quantum circuits using tens of superconducting qubits and thousands of gates for dense Ising optimization problems
We develop a hardware-efficient ansatz for variational optimization, derived from existing
ansatzes in the literature, that parametrizes subsets of all interactions in the cost Hamiltonian …
ansatzes in the literature, that parametrizes subsets of all interactions in the cost Hamiltonian …
Classification of dynamical Lie algebras of 2-local spin systems on linear, circular and fully connected topologies
Much is understood about 1-dimensional spin chains in terms of entanglement properties,
physical phases, and integrability. However, the Lie algebraic properties of the Hamiltonians …
physical phases, and integrability. However, the Lie algebraic properties of the Hamiltonians …