Nathan Killoran
Nathan Killoran
First reported in https://github.com/PennyLaneAI/pennylane/issues/842, we've now determined that this is a SF-specific issue.
At the moment this can be hacked by doing `MeasureFock` and converting any nonzero results to a value of 1. However, there is likely a simpler way to implement these...
There is a test in `tests/backend/test_fock_measurement.py` which takes a long time to run, and crashes my computer when run locally. We should pinpoint which test this is and mark it...
### The pitch Classifiers are widely used in (classical) machine learning, e.g., for recognizing faces, objects, or characters in an image. By now, they are so well-advanced that they can...
### The pitch Error-correction and error-mitigation are important necessities for leveraging the power of quantum computing. This is especially true in the current era where publicly available quantum computing devices...
### The pitch Generative adversarial networks (GANs) are a unique machine learning strategy where two models---a generator and a discriminator---are trained simultaneously in a competitive manner. GANs are behind the...
### The pitch Quantum machine learning is exciting, but it's such a new field that it can sometimes be hard for non-experts to grasp the key concepts. The classical machine...
### The pitch There are lots of exciting papers coming out lately in quantum machine learning. However, only sometimes do they come with code that can be reused, reimplemented, or...
### The pitch Measuring the outputs of a typical quantum circuit yields a binary value for each measured wire. These outputs can be considered "pixels" which can be off or...
### The pitch Use quantum machine learning tools to generate, classify, rank, or recommend music. This could involve elements of: - finding a method to encode musical sequences into quantum...