-
# Abstract
Eigendecompositions have a large variety of applications in physics, biology, mechanical engineering, ML, etc. To find the exact Eigendecomposition of a quantum system one has to employ Ha…
-
The word "parametric" is overloaded in our documentation, and causes confusion. Here are the three different things it means (as far as I am aware):
1. There are two types of standard quantum gates…
-
### Description
To use different quantum computing techniques focused on Machine Learning, as a principal base for the quantum autoencoder to be able to reduce data in a medical dataset, also to …
-
It would be good to have the MPS fully covered in our code library. Currently, MPS has become an important representation to efficiently represent many-body states and tensor networks. Since my resear…
-
We recently had our first outside contributor add to TFQ datasets. Big thanks @therooler and the rest of the U of T folks! Now that we have our first example in place, let's use this issue to plan out…
-
### What is the expected enhancement?
When the same circuit is executed many times but with a different set parameters every time, quite a significant amount of time is taken by `QuantumCircuit.assig…
-
# Abstract
Reduction of the number of measurements is one of the most important topic for variational quantum algorithms. In Qiskit, [Abelian grouper](https://github.com/Qiskit/qiskit-terra/blob/ma…
-
### Team Name:
zer0dynamics
### Project Description:
Gradient ascent in function space (GRAFS) [1] is an algorithm for optimal control synthesis that leverages functional expansions of cont…
-
# Observed Issue
With relatively small circuit, I observed it took about 10 times longer than `"default.qubit"`.
According to `%prun` profiling on Google Colab, the bottleneck is `cuquantum.cute…
-
### Team Name:
cyx
### Project Description:
Portfolio optimization is one of the most popular topics in the area of finance. The goal of it is to find the optimal combination of different a…