Code to implement:

Quantum Assisted Simulator - https://arxiv.org/pdf/2011.06911.pdf, https://arxiv.org/pdf/2011.14737.pdf, https://arxiv.org/pdf/2101.07677.pdf

Truncated Taylor Quantum Simulator - https://arxiv.org/pdf/2103.05500.pdf

Classical Quantum Fast Forwarding - https://arxiv.org/pdf/2104.01931.pdf

If you use our code, please cite our respective papers.

Refer to the Jupyter notebook tutorial to see how the code is meant to work for the quantum simulators (name is: Tutorial on how to use (Start here))

Things done: Created the stuff needed to do simple IQAE, TTQS, QAS, CQFF. Also created the ability to interface with IBMQ quantum computers

Things to do: Create the code for more advanced plotting and analyzing

QCQP: NEEDS SPECIFIC LIBRARIES

#pip install cvxpy==0.4.9

#pip install CVXcanon==0.1.0

#pip install qcqp

#AFTER THIS: Go to the python files in your computer

#For me its C:\Users\jonat\AppData\Local\Programs\Python\Python38\Lib\site-packages\cvxpy\atoms\log_sum_exp

#Change from scipy.misc import logsumexp to from scipy.special import logsumexp

#Also might require you to get a mosek license and install mosek

#pip install Mosek

#Request personal Academic License at https://www.mosek.com/products/academic-licenses/ and follow instructions

Dependencies:

1. Qiskit
2. Numpy
3. Scipy
4. matplotlib

pauli_class_package:

1. Handles multiplication of pauli strings

Objects: Paulistring Functions: pauli_combine, pauli_helper

hamiltonian_class_package:

1. Contains all the information of the Hamiltonian

REQUIRES PAULI CLASS

Objects: Hamiltonian Functions: transverse_ising_model_1d, heisemberg_XYZ_model

ansatz_class_package:

1. Generates Ansatzes
2. Contains initial state class representation

Objects: Ansatz, moment, Initialstate Functions: initial_ansatz, gen_next_ansatz

matrix_class_package:

1. Contains the representations for the unevaluated E and D matrices (each element is a list of paulistring objects that will be passed to backend to evaluate)

post_processing:

1. The routine to solve the generalised eigenvalue problem

optimizers:

1. The optimizers

plotting_package:

1. Does the plots