Quantum Computing Delivered From The Cloud

• The release of a new API (Application Program Interface) for the IBM Quantum Experience that enables developers and programmers to begin building interfaces between its existing five quantum bit (qubit) cloud-based quantum computer and classical computers, without needing a deep background in quantum physics.
• The release of an upgraded simulator on the IBM Quantum Experience that can model circuits with up to 20 qubits. In the first half of 2017, IBM plans to release a full SDK (Software Development Kit) on the IBM Quantum Experience for users to build simple quantum applications and software programs.

The IBM Quantum Experience enables anyone to connect to IBM’s quantum processor via the IBM Cloud, to run algorithms and experiments, work with the individual quantum bits, and explore tutorials and simulations around what might be possible with quantum computing. Since its launch less than a year ago, about 40,000 users have run over 275,000 experiments on the IBM Quantum Experience. It has become an enablement tool for scientists in over 100 countries and, to date, 15 third-party research papers have been posted to arXiv with five published in leading journals based on experiments run on the Quantum Experience.

The broad availability of quantum computing capability could prove to be a significant blow to current data encryption practices. In 2015 the US National Security Agency actually advised US agencies and businesses to prepare for a time when the cryptography protecting virtually all e-mail, medical and financial records, and online transactions would be rendered obsolete by quantum computing. The US National Institute for Standards and Technology (NIST) is also running a competition to spur work on post-quantum algorithms.

• Drug and Materials Discovery: Untangling the complexity of molecular and chemical interactions leading to the discovery of new medicines and materials;
• Supply Chain & Logistics: Finding the optimal path across global systems of systems for ultra-efficient logistics and supply chains, such as optimizing fleet operations for deliveries during the holiday season;
• Financial Services: Finding new ways to model financial data and isolating key global risk factors to make better investments;
• Artificial Intelligence: Making facets of artificial intelligence such as machine learning much more powerful when data sets can be too big such as searching images or video; or
• Cloud Security: Making cloud computing more secure by using the laws of quantum physics to enhance private data safety.

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