Shallow quantum circuits are robust hunters for quantum many-body scars
arxiv(2024)
摘要
Presently, noisy intermediate-scale quantum computers encounter significant
technological challenges that make it impossible to generate large amounts of
entanglement. We leverage this technological constraint as a resource and
demonstrate that a shallow variational eigensolver can be trained to
successfully target quantum many-body scar states. Scars are area-law
high-energy eigenstates of quantum many-body Hamiltonians, which are sporadic
and immersed in a sea of volume-law eigenstates. We show that the algorithm is
robust and can be used as a versatile diagnostic tool to uncover quantum
many-body scars in arbitrary physical systems.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要