Springing Simulations Forward with Quantum Computing

Springing Simulations Forward with Quantum Computing

April 13, 2024
Partnering with researchers from Google Quantum AI and Macquarie University in Sydney, Australia, Wiebe developed an algorithm for simulating systems of coupled masses and springs on quantum computers. The researchers then provided evidence of the new algorithm’s exponential advantage over classical algorithms.

New Technology Developed by Swedish Scientists Is Expected to Build Quantum Computers With Longer Computation Time and Greater Power

A research team from Chalmers University of Technology has created a unique system based on continuous-variable quantum computing, which uses a harmonic oscillator with a built-in control system to encode information linearly. The method can address the problem of quantum systems with effective error correction and longer computation time having defects in the ability to control quantum states.

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Breakthrough May Clear Major Hurdle for Quantum Computers

Breakthrough May Clear Major Hurdle for Quantum Computers

June 20, 2024
The potential of quantum computers is currently thwarted by a trade-off problem. Quantum systems that can carry out complex operations are less tolerant to errors and noise, while systems that are more protected against noise are harder and slower to compute with. Now a research team from Chalmers University of Technology has created a unique system that combats the dilemma, thus paving the way for longer computation time and more robust quantum computers.
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