quantum computers tagged posts

Machine Learning Models Quantum Devices

Quantum reservoir computing. B and F represent the input and output states, respectively, of a quantum system. E is an auxiliary system necessary to pass the sequence of input states B to the quantum reservoir S. S can then be read to emulate F without disrupting the system. ©2021 Tran et al.

A novel algorithm allows for efficient and accurate verification of quantum devices. Technologies that take advantage of novel quantum mechanical behaviors are likely to become commonplace in the near future. These may include devices that use quantum information as input and output data, which require careful verification due to inherent uncertainties. The verification is more challenging if the device is time dependent when the output depends on past inputs...

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Breakthrough Proof Clears Path for Quantum AI

Prx Fig (1)
A novel proof that certain quantum convolutional networks can be guaranteed to be trained clears the way for quantum artificial intelligence to aid in materials discovery and many other applications.

Novel theorem demonstrates convolutional neural networks can always be trained on quantum computers, overcoming threat of ‘barren plateaus’ in optimization problems. Convolutional neural networks running on quantum computers have generated significant buzz for their potential to analyze quantum data better than classical computers can. While a fundamental solvability problem known as “barren plateaus” has limited the application of these neural networks for large data sets, new research overcomes that Achilles heel with a rigorous proof that guarantees scalability.

“The way you cons...

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Researchers Develop New Tool for Analyzing Large Superconducting Circuits

Method could help push forward the field of quantum computing. The next generation of computing and information processing lies in the intriguing world of quantum mechanics. Quantum computers are expected to be capable of solving large, extremely complex problems that are beyond the capacity of today’s most powerful supercomputers.

New research tools are needed to advance the field and fully develop quantum computers. Now Northwestern University researchers have developed and tested a theoretical tool for analyzing large superconducting circuits. These circuits use superconducting quantum bits, or qubits, the smallest units of a quantum computer, to store information.

Circuit size is important since protection from detrimental noise tends to come at the cost of increased circu...

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A Peculiar State of Matter in Layers of Semiconductors

A cube with stripes representing layers of semiconductors, with clusters of gold spheres representing nanodots
The setup for the milli-electronvolt inelastic X-ray scattering that probes the many-body localization in the disordered superlattice system
Credits:Image courtesy of the researchers

Scientists around the world are developing new hardware for quantum computers, a new type of device that could accelerate drug design, financial modeling, and weather prediction. These computers rely on qubits but these are fickle, degrading into regular bits when interactions with surrounding matter interfere. But new research at MIT suggests a way to protect their states, using a phenomenon called many-body localization (MBL).

MBL is a peculiar phase of matter, proposed decades ago, that is unlike solid or liquid. Typically, matter comes to thermal equilibrium with its environment...

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