The world's most powerful quantum computer processor could be created by Google, if research underway at the firm pays off. The company is currently testing a quantum processor more than twice as powerful as its previously announced chip, and claims it will be ready by the end of 2017. If successful, the processor could lead to computers capable of solving scientific mysteries that would take ordinary computers billions of years to compute. Google claims it will have a working quantum chip, powerful enough to out perform conventional computers, by the end of 2017. The heart of modern computing is binary code, which has served computers for decades.
How many qubits are needed to out-perform conventional computers, how to protect a quantum computer from the effects of decoherence and how to design more than 1000 qubits fault-tolerant large scale quantum computers, these are the three basic questions we want to deal in this article. Qubit technologies, qubit quality, qubit count, qubit connectivity and qubit architectures are the five key areas of quantum computing are discussed. Earlier we have discussed 7 Core Qubit Technologies for Quantum Computing, 7 Key Requirements for Quantum Computing. Spin-orbit Coupling Qubits for Quantum Computing and AI, Quantum Computing Algorithms for Artificial Intelligence, Quantum Computing and Artificial Intelligence, Quantum Computing with Many World Interpretation Scopes and Challenges and Quantum Computer with Superconductivity at Room Temperature. Here, we will focus on practical issues related to designing large-scale quantum computers.
One of the biggest obstacles to quantum supremacy is error rates and subsequent scalability. Qubits (the quantum version of traditional bits) are very unstable and can be adversely affected by noise, and most of these systems can only hold a state for less than 100 microseconds. Google believes that quantum supremacy can be "comfortably demonstrated" with 49 qubits and a two-qubit error below 0.5 percent. Previous quantum systems by Google have given two-qubit errors of 0.6 percent, which in theory sounds like a miniscule difference, but in the world of quantum computing remains significant.
An Australian research team led by the renowned quantum physicist Prof Michelle Simmons has announced a major breakthrough in quantum computing, which researchers hope could lead to much greater computing power within a decade. Simmons, a former Australian of the Year, and her team at the University of New South Wales announced in a paper published in Nature journal on Thursday that they have been able to achieve the first two-qubit gate between atom qubits in silicon, allowing them to communicate with each other at a 200 times faster rate than previously achieved at 0.8 nanoseconds. A qubit is a quantum bit. In this design, it is built from single phosphorus atoms in silicon. In standard computing, a bit can exist in one of two states – 1 or 0. For qubits, it can be 1 or 0 or both simultaneously, which is referred to as a superposition.