论文标题
量子多体状态准备的资源估计在量子计算机上
Resource estimate for quantum many-body ground-state preparation on a quantum computer
论文作者
论文摘要
我们估计在中间大小的量子计算机上准备量子多体系统所需的资源。使用量子多体方法和分析上限的组合，可以实现此估计。我们的例程也可用于优化特定问题实例的某些设计参数。最后，我们提出和基准测试了改进的量子状态准备程序。我们发现，对于中型晶格，它将电路T-Depth降低了$ 10^6 $的因素。
We estimate the resources required to prepare the ground state of a quantum many-body system on a quantum computer of intermediate size. This estimate is made possible using a combination of quantum many-body methods and analytic upper bounds. Our routine can also be used to optimize certain design parameters for specific problem instances. Lastly, we propose and benchmark an improved quantum state preparation procedure. We find that it reduces the circuit T-depth by a factor as large as $10^6$ for intermediate-size lattices.
