The goal of the Open Quantum Safe (OQS) project is to support the development and prototyping quantum-resistant cryptography. OQS consists of two main lines of work: liboqs, an open source C library for quantum-resistant cryptographic algorithms, and prototype integrations into protocols and applications, including the widely used OpenSSL library.

An introduction to quantum computing using the pyQuil Python library. This tutorial covers such topics as qubit operations, Pauli operators, multi-qubit operations, the Quantum Abstract Machine, classical/quantum interaction, the probabilistic halting problem, and more, complete with pyQuil code examples.

QMASM fills a gap in the software ecosystem for D-Wave's adiabatic quantum computers by shielding the programmer from having to know system-specific hardware details while still enabling programs to be expressed at a fairly low level of abstraction (in Python). It is therefore analogous to a conventional macro assembler and can be used in much the same way: as a target either for programmers who want a great deal of control over the hardware or for compilers that implement higher-level languages.

N.B. This tool used to be called "QASM" but was renamed to avoid confusion with MIT's QASM, which is used to describe quantum circuits (a different model of quantum computation from what the D-Wave uses) and the IBM Quantum Experience's QASM language, also used for describing quantum circuits.

Qbsolv is a metaheuristic or partitioning solver that solves a potentially large quadratic unconstrained binary optimization (QUBO) problem by splitting it into pieces that are solved either on a D-Wave quantum computing system or via a classical tabu solver.

Quantum computing is real. But it’s also hard. So hard that only a few developers, usually trained in quantum physics, advanced mathematics, or most likely both, can actually work with the few quantum computers that exist. Now D-Wave, the Canadian company behind the quantum computer that Google and NASA have been testing since 2013, wants to make quantum computing a bit easier through the power of open source software.

In this episode of the O’Reilly Hardware Podcast, Jeff Bleiel and Brian Jepson speak with Chris Lirakis, senior manager, engineering of novel computing architectures at IBM. Earlier this year, the company’s quantum computing platform in the cloud, the “IBM Quantum Experience,” was opened up to researchers, scientists, and the public.

A Nature research journal for quantum computing and information.