IBM intends to build IBM Q systems to expand the application domain of quantum computing. A key metric will be the power of a quantum computer expressed by the “Quantum Volume”, which includes the number of qubits, quality of quantum operations, qubit connectivity and parallelism. As a first step to increase Quantum Volume, IBM aims at constructing commercial IBM Q systems with ~50 qubits in the next few years to demonstrate capabilities beyond today’s classical systems, and plans to collaborate with key industry partners to develop applications that exploit the quantum speedup of the systems.More details can be found at IBM.
IBM Q systems will be designed to tackle problems that are currently seen as too complex and exponential in nature for classical computing systems to handle. One of the first and most promising applications for quantum computing will be in the area of chemistry. Even for simple molecules like caffeine, the number of quantum states in the molecule can be astoundingly large – so large that all the conventional computing memory and processing power scientists could ever build could not handle the problem.
IBM’s scientists have developed techniques to efficiently explore the simulation of chemistry problems on quantum processors (https://arxiv.org/abs/1701.08213 and https://arxiv.org/abs/1612.02058) and experimental demonstrations of various molecules are in progress. In the future, the goal will be to scale to even more complex molecules and try to predict chemical properties with higher precision than possible with classical computers.
Future applications of quantum computing may include:
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.
IBM plans to make the first commercial quantum computers
Posted on Monday, Mar 06 2017 @ 12:34 CET by Thomas De Maesschalck
IBM rolled out a new initiative that it claims will lead to the first commercially available universal quantum computer systems for business and science applications. Known as the IBM Q, this platform will enable anyone to connect to IBM's quantum processor for the IBM cloud. At the moment, the company's IBM Quantum experience can model circuits with up to 20 qubits and the firm aims to increase this to 50 qubits in the next few years.