quantum computers tagged posts

Measuring Tiny Quantum Effects with High Precision

A research team has discovered a Heisenberg-limited metrology via weak-value amplification without using entangled resources. Most quantum information technologies including quantum computers – considered a step above supercomputers – and quantum communication that cannot be hacked are based on the principle of quantum entanglement. However, entangled systems exist in a small microscopic world and are pretty fragile. Quantum metrology, which provides enhanced sensitivity over conventional measurements in precision metrology, has also mainly relied on quantum entanglement, so that it is hard to implement in real life applications. Recently, a Korean research team has proposed a method to achieve the quantum metrology precision without using entangled resources.

A POSTECH research te...

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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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