Cirq

Also for a more comprehensive listing of the quantum software, see the awesome-quantum-software [0] on GiuHub. Personally I have used Cirq[1] and Qiskit[2] to implement some classic algorithms like Deutsch-Jozsa[3] and Shor's[4] algorithm and I would say the two frameworks are very similar to use for those implementations. So, it would be interesting to get some insights/opinions from someone who has used multiple frameworks. Is there any clear win/loss of those frameworks? [0]: https://github.com/qosf/awesome-quantum-software#experimenta... [1]: https://github.com/quantumlib/Cirq [2]: https://qiskit.org/ [3]: https://en.wikipedia.org/wiki/Deutsch%E2%80%93Jozsa_algorith... [4]: https://en.wikipedia.org/wiki/Shor%27s_algorithm

Cirq has most of the experiments that were used to demonstrate quantum supremacy[0]. Here is an example of cross-entropy benchmarking; the tool used to benchmark this processor: https://github.com/quantumlib/Cirq/blob/master/examples/cros... [0]: https://github.com/quantumlib/Cirq/tree/master/cirq/experime...

Alongside the development of quantum hardware, which has ever-growing qubit numbers and ever-increasing fidelities and coherence times, there’s also software that’s getting more and more sophisticated. Most quantum computer providers have their own APIs for programming their machines [1,2,3]. Python seems to be the popular choice for these APIs. But one piece of software I’ve been particularly interested in, and indeed contribute to, is Rigetti’s open source optimizing compiler called quilc [4,4’], which is a sort of a GCC/Clang for quantum computers. It’s the only open-source compiler of it’s kind. They also have a high-performance simulator [5], which is used sort of like a debugger. (Perhaps surprisingly, both are written in Common Lisp.) What is very useful about the compiler is that it is retargetable, and can compile for even IBM’s

FWIW, we use mypy in Cirq (https://github.com/quantumlib/Cirq) and we haven't reached version 1.0 yet.