From b042a745d2708b2cc571b8c9c6b352b6b7d4920f Mon Sep 17 00:00:00 2001 From: refraction-ray Date: Fri, 15 Mar 2024 10:12:38 +0800 Subject: [PATCH] version0.12.0 --- CHANGELOG.md | 4 ++++ README.md | 14 +++++++------- tensorcircuit/__init__.py | 2 +- 3 files changed, 12 insertions(+), 8 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 624458e7..b5318889 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -2,6 +2,8 @@ ## Unreleased +## 0.12.0 + ### Added - Add translation of r gate from qiskit @@ -28,6 +30,8 @@ - Fixed jax refactoring (0.4.24) where SVD and QR return a namedtuple instead of a tuple +- Fix qiskit<1.0 and tf<2.16 + ## 0.11.0 ### Added diff --git a/README.md b/README.md index 46a70c2a..cc532ff7 100644 --- a/README.md +++ b/README.md @@ -356,13 +356,13 @@ Reference paper: https://arxiv.org/abs/2303.10825 (published in JCTC). For the numerical simulation and hardware experiments with error mitigation on QAOA, see the [project repo](https://github.com/sherrylixuecheng/EMQAOA-DARBO). -Reference paper: https://arxiv.org/abs/2303.14877. +Reference paper: https://arxiv.org/abs/2303.14877 (published in Communications Physics). ### NN-VQA For the setup and simulation code of neural network encoded variational quantum eigensolver, see the [demo](/docs/source/tutorials/nnvqe.ipynb). -Reference paper: https://arxiv.org/abs/2308.01068. +Reference paper: https://arxiv.org/abs/2308.01068 (published in PRApplied). ### More works @@ -377,7 +377,7 @@ Reference paper: https://arxiv.org/abs/2308.01068. - Variational Quantum Simulations of Finite-Temperature Dynamical Properties via Thermofield Dynamics: https://arxiv.org/abs/2206.05571. -- Understanding quantum machine learning also requires rethinking generalization: https://arxiv.org/abs/2306.13461. +- Understanding quantum machine learning also requires rethinking generalization: https://arxiv.org/abs/2306.13461 (published in Nature Communications). - Decentralized Quantum Federated Learning for Metaverse: Analysis, Design and Implementation: https://arxiv.org/abs/2306.11297. Code: https://github.com/s222416822/BQFL. @@ -385,7 +385,7 @@ Reference paper: https://arxiv.org/abs/2308.01068. - Quantum generative adversarial imitation learning: https://doi.org/10.1088/1367-2630/acc605 (published in New Journal of Physics). -- GSQAS: Graph Self-supervised Quantum Architecture Search: https://arxiv.org/abs/2303.12381. +- GSQAS: Graph Self-supervised Quantum Architecture Search: https://arxiv.org/abs/2303.12381 (published in Physica A: Statistical Mechanics and its Applications). - Practical advantage of quantum machine learning in ghost imaging: https://www.nature.com/articles/s42005-023-01290-1 (published in Communications Physics). @@ -393,15 +393,15 @@ Reference paper: https://arxiv.org/abs/2308.01068. - Comparison of Quantum Simulators for Variational Quantum Search: A Benchmark Study: https://arxiv.org/abs/2309.05924. -- Statistical analysis of quantum state learning process in quantum neural networks: https://arxiv.org/abs/2309.14980 (Pubilshed in NeurIPS). +- Statistical analysis of quantum state learning process in quantum neural networks: https://arxiv.org/abs/2309.14980 (published in NeurIPS). -- Generative quantum machine learning via denoising diffusion probabilistic models: https://arxiv.org/abs/2310.05866. +- Generative quantum machine learning via denoising diffusion probabilistic models: https://arxiv.org/abs/2310.05866 (published in PRL). - Quantum imaginary time evolution and quantum annealing meet topological sector optimization: https://arxiv.org/abs/2310.04291. - Google Summer of Code 2023 Projects (QML4HEP): https://github.com/ML4SCI/QMLHEP, https://github.com/Gopal-Dahale/qgnn-hep, https://github.com/salcc/QuantumTransformers. -- Absence of barren plateaus in finite local-depth circuits with long-range entanglement: https://arxiv.org/abs/2311.01393. +- Absence of barren plateaus in finite local-depth circuits with long-range entanglement: https://arxiv.org/abs/2311.01393 (published in PRL). - Non-Markovianity benefits quantum dynamics simulation: https://arxiv.org/abs/2311.17622. diff --git a/tensorcircuit/__init__.py b/tensorcircuit/__init__.py index 8b2779d5..fb1c2e40 100644 --- a/tensorcircuit/__init__.py +++ b/tensorcircuit/__init__.py @@ -1,4 +1,4 @@ -__version__ = "0.11.0" +__version__ = "0.12.0" __author__ = "TensorCircuit Authors" __creator__ = "refraction-ray"