quantum

quantum copied to clipboard

[PR1/? from #774] Upgrade Cirq to >=1.0

4

This PR is upgrading TFQ's cirq deps from 0.13.x to >=1.0.

QuantumJaeYoo

Installation Issues on Apple M1 device

4

I'm having troubles installing `tensorflow-quantum` on an Apple M1 device. Tensorflow installation is fine following Apple's official guide (https://developer.apple.com/metal/tensorflow-plugin/), though I am not able to install `tfq`, either via `pip`...

stfnmangini

## Overview Hi, this is a draft pull request for improving the `tfq.convert_to_tensor` function by adding parallelization (tensorflow#336). I'm confused about how the benchmarking suite works, so I am creating...

redayzarra

[Performance] Boost tfq.convert_to_tensor speed

11

Currently `tfq.convert_to_tensor` uses just one core and makes use of Cirq serialization protocols. They are pretty slow for large circuits. A quick benchmark shows that more than 95% of all...

MichaelBroughton

Bumps [grpcio](https://github.com/grpc/grpc) from 1.34.1 to 1.53.0. Release notes Sourced from grpcio's releases. Release v1.53.0 This is release 1.53.0 (glockenspiel) of gRPC Core. For gRPC documentation, see grpc.io. For previous releases,...

dependabot[bot]

GPU support in TFQ

1

Hi, I am trying to parallelize a hybrid network using a gpu, but I'm unsure if TFQ supports gpus yet. I have seen previous issues that said TFQ does not...

masonca000

This PR is the last sub PR from #774 - PQC and ControlledPQC : cuQuantum enabled. - NoisyPQC and NoisyControlledPQC : not supported.

QuantumJaeYoo

This PR adds python layers of cuQuantum-accelerated differentiators, simulation layers. For this purpose, this PR adds `use_cuquantum` for each python keras layers. Also, `circuit_execution_ops.is_gpu_configured()` function gives us if the TFQ...

QuantumJaeYoo

This is the PR having the core C++ cuQuantum accelerated ops. - Upgrades qsim to 0.16.1, and adds cuquantum_configure to set the local compilation setup in bazel. - scripts/test_all.sh has...

QuantumJaeYoo

This PR standardizes the way of using PhiloxRandom generators based on TensorFlow's random ops. - RandomOps have seed / seed2 attributes with `SetIsStateful()` option ([codes](https://github.com/tensorflow/tensorflow/blob/3e640cb8cae29d5803e9b4724183ce0bea55e721/tensorflow/core/ops/random_ops.cc#L26-L34)) - Random generators are initialized...

QuantumJaeYoo