Approximate Simulation

Hai Wang

The error analyzing and comparing between theoretical and approximate simulated formula in measuring the temperature of cold atoms with short-distance time-of-flight(TOF) method are reported.The results shows that the approximate simulated formula aqrees well with the theoretical simulated formula when the ratio of the radius of probe to the cold atoms is less than 0.2.When the ratio of the radius of probe to the cold atoms approachs 0.5,the error between the approximate simulated formula with the theoretical simulated formula for TOF absorption signal is significant.

Scott Kirkpatrick

Nadav Yoran, Anthony J. Short

We present a method for classically simulating quantum circuits based on the tensor contraction model of Markov and Shi (e-print arXiv:quant-ph/0511069). Using this method we are able to classically simulate the approximate quantum Fourier transform in polynomial time. Moreover, our approach allow us to formulate a condition for the composability of simulable quantum circuits. We use this condition to show that any circuit composed of a constant number of approximate quantum Fourier transform circuits and log depth circuits with limited interaction range can also be efficiently simulated.

Florian Gebhard

Melinda Hagedorn

Mingyu Huang, Ji Guan, Wang Sheng Fang +1 more

Simulating noisy quantum circuits is vital in de-signing and verifying quantum algorithms in the current NISQ (Noisy Intermediate-Scale Quantum) era, where quantum noise is unavoidable. However, it is much more inefficient than the classical counterpart because of the quantum state explosion problem (the dimension of state space is exponential in the number of qubits) and the complex (non-unitary) representation of noises. Consequently, only noisy circuits with up to about 50 qubits can be simulated approximately well. To improve the scalability of the circuits that can be simulated, this paper introduces a novel approximation algorithm for simulating noisy quantum circuits when the noisy effectiveness is insignificant. The algorithm is based on a new tensor network diagram for the noisy simulation and uses the singular value decomposition to approximate the tensors of quantum noises in the diagram. The contraction of the tensor network diagram is implemented on Google's TensorNetwork. The effectiveness and utility of the algorithm are demonstrated by experimenting on a series of practical quantum circuits with realistic superconducting noise models. As a result, our algorithm can approximately simulate quantum circuits with up to 225 qubits and 20 noises (within about 1.8 hours). In particular, our method offers a speedup over the commonly-used approximation (sampling) algorithm - quantum trajectories method [1]. Furthermore, our approach can significantly reduce the number of samples in the quantum trajectories method when the noise rate is small enough,