FAMU-FSU College of Engineering
"Quantum machine learning on near-term quantum hardware"
Since its inception by Richard Feynman in 1982, quantum computing has provided a potential power to advance computational capabilities over classical computing. Quantum computers use quantum mechanical phenomena to carry out calculations using what is known as a qubit (quantum analog of a classical bit). Quantum computing can be designed to solve certain problems that are intractable by conventional computers, utilizing the power of accessibility of large Hilbert space and the complexity of entanglement. There are few known quantum algorithms that are proved to have speed-up over any known classical algorithm, like Shor’s algorithm for factoring large integers. The number of qubits for practical implementation of those quantum algorithms is beyond the reach on current platforms. However, the hardware of realizing quantum computers has been under rapid development over the last decade. Nowadays, there are several platforms of quantum hardware that can perform quantum computing in a small scale of qubits. It is an opportune time to discuss the potential applications on near-term quantum hardware. In this talk, I will briefly review some basic concepts of quantum computing and mainly focus on the computational application of the D-Wave machine.