Quantum Computing Revolution: A major improvement is coming to quantum error correction, a critical aspect of quantum computing. Low-Density Parity Check (LDPC) codes may be more efficient than the surface code, the gold standard for years, These LDPC codes can make “protected” qubits with 1015 times fewer raw qubits than the surface code. This could boost quantum efficiency.
Classic computers are made on steady bits. However, quantum computers require qubits, which are trivial to dequantize. To ensure accuracy, quantum error correction repeats information with extra qubits, like repeating a phrase. The surface code has been used largely since 1998. Alexei Kitaev and Sergey Bravyi invented this Minesweeper-like grid approach for qubits. Checking qubits helps detect and rectify errors.
But the surface code needs several qubits. A larger block of qubits improves reliability. Large-scale quantum programs are difficult because of this. In 2013, Daniel Gottesman proposed LDPC codes, which allow checks to link qubits over long distances and reduce the need for many qubits.
Two major events this week have highlighted LDPC codes:
IBM Breakthrough: Sergey Bravyi led IBM’s LDPC blueprint replication of a 2012 publication. Two “nonlocal” qubits and the surface code check method were introduced. The results were promisingtheir approach protected dependable qubits better than the surface code. The code needed 288 raw qubits to make 12 protected ones in a test, while the surface code needed over 4,000.
Harvard and Chicago academics obtained identical results almost simultaneously. They found that various LDPC codes were equally efficient as the surface code.
These results suggest that quantum computing may soon modify LDPC codes, although hardware implementation is difficult. Two key issues:
Links between distant qubits are difficult, especially for superconducting circuit-based quantum devices like IBM’s.
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Simulations vs. genuine-world Applications: LDPC codes have shown potential in simulations, but genuine quantum devices will require more work to create.
In effect, the surface code has shaped quantum computing, although LDPC codes are now a formidable alternative. While not participating in these works, University of Maryland LDPC code expert Daniel Gottesman noted, “These [codes] could be useful things that can help us make quantum computers much better.” The real test will be how well they perform in gadgets.
Our Reader’s Queries
What is the quantum computing revolution?
Quantum computers operate in parallel universes, a concept derived from quantum physics where electrons can exist in multiple locations simultaneously. This introduces a unique perspective on reality and has led to significant advancements in technology, including Google AI quantum’s remarkable breakthroughs.
Is quantum computing the next revolution?
The advent of quantum computers may be even more momentous than we realize. We are on the cusp of a new revolution, ushering in a new era of computing power. Enter the ultimate computer, capable of computations on the very building blocks of matter – atoms. This next generation of computers is set to redefine what we thought was possible. It’s a game-changer.
When was the quantum revolution?
At the end of the 20th century, the First Quantum Revolution happened as scientists tried to make sense of experiments on blackbody radiation.
When did quantum computing become a thing?
In 1998, the inaugural test run of a quantum algorithm took place, marking a milestone in the field of quantum computing. Jonathan A. Jones and Michele Mosca of Oxford University utilized a functional 2-qubit NMR quantum computer to successfully tackle Deutsch’s problem. This achievement was swiftly followed by Isaac L.’s contribution to the groundbreaking demonstration.