IBM’s fault-tolerant quantum computer coming in 2029
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Recent technological advances have opened new exciting possibilities for the development of cutting-edge quantum devices, including quantum random access memory (QRAM) systems. These are memory architectures specifically meant to be integrated inside quantum computers,
Ultimately, the new approach works because of how it encodes information. Classical computers use bits, which can take one of two values. Qubits, the quantum equivalent, can take on multiple values, because of the vagaries of quantum mechanics. But even qubits, once measured, can take on only one of two values, a 0 or a 1.
The next generation of computers could reshape science, security, and global power. It will not be about what’s possible with bits, but about what we can achieve with qubits.
Physicists at the University of Oxford have set a new global benchmark for the accuracy of controlling a single quantum bit, achieving the lowest-ever error rate for a quantum logic operation—just 0.000015%,
Physicists at the University of Oxford have set a new global benchmark for the accuracy of controlling a single quantum bit, achieving the lowest-ever error rate for a quantum logic operation--just 0.
There are lots of potential ways to arrange different combinations of data and measurement qubits for this to work, each referred to as a code. But, as a general rule, the more hardware qubits committed to the code, the more robust it will be to errors, and the more logical qubits that can be distributed among its hardware qubits.
The company says it has cracked the code for error correction and is building a modular machine in New York state.
Starling will be “fault tolerant,” IBM said, meaning it would be able to perform quantum operations for things like drug discovery, supply chain optimization, semiconductor design, and financial risk analyses without the errors that plague quantum computers today and make them less useful than traditional computers.
Nvidia CEO Jensen Huang says that quantum computing is reaching an inflection point and will start to solve real-world problems in the coming years.