Pdf Scientists Demonstrate Unconditional Exponential Quantum Scaling

Conducted on IBM quantum processors, study demonstrates “a promise of quantum computing previously articulated only on paper.” Interior shot of a quantum computer with an IBM Eagle processor/Photo credit: IBM Quantum computers have the potential to speed up computation, help design new medicines, break codes, and discover exotic new materials—but that’s only when they are truly functional. One key thing that gets in the way: noise or the errors that are produced during computations on a quantum machine–which in fact makes them less powerful than classical computers – until recently. Daniel Lidar, holder of the Viterbi Professorship in Engineering and Professor of Electrical & Computing Engineering at the USC Viterbi School of Engineering, has been iterating on quantum error correction, and in a new... The paper, “Demonstration of Algorithmic Quantum Speedup for an Abelian Hidden Subgroup Problem,” was published in APS flagship journal Physical Review X.

Quantum computers have the potential to speed up computation, help design new medicines, break codes, and discover exotic new materials -- but that's only when they are truly functional. One key thing that gets in the way: noise or the errors that are produced during computations on a quantum machine -- which in fact makes them less powerful than classical computers - until... Daniel Lidar, holder of the Viterbi Professorship in Engineering and Professor of Electrical & Computing Engineering at the USC Viterbi School of Engineering, has been iterating on quantum error correction, and in a new... The paper, "Demonstration of Algorithmic Quantum Speedup for an Abelian Hidden Subgroup Problem," was published in APS flagship journal Physical Review X. "There have previously been demonstrations of more modest types of speedups like a polynomial speedup, says Lidar, who is also the cofounder of Quantum Elements, Inc. "But an exponential speedup is the most dramatic type of speed up that we expect to see from quantum computers."

The key milestone for quantum computing, Lidar says, has always been to demonstrate that we can execute entire algorithms with a scaling speedup relative to ordinary "classical" computers. Conducted on IBM quantum processors, study demonstrates “a promise of quantum computing previously articulated only on paper” Interior shot of a quantum computer with an IBM Eagle processor. Quantum computers have the potential to speed up computation, help design new medicines, break codes, and discover exotic new materials—but that’s only when they are truly functional. One key thing that gets in the way: noise or the errors that are produced during computations on a quantum machine--which in fact makes them less powerful than classical computers – until recently. Daniel Lidar, holder of the Viterbi Professorship in Engineering and Professor of Electrical & Computing Engineering at the USC Viterbi School of Engineering, has been iterating on quantum error correction, and in a new...

The paper, “Demonstration of Algorithmic Quantum Speedup for an Abelian Hidden Subgroup Problem,” was published in APS flagship journal Physical Review X. Quantum computing holds the promise to revolutionize how we perform calculations, enabling breakthroughs in medicine design, codebreaking, and the discovery of new materials. However, the technology has long been hindered by a fundamental challenge: noise and errors during quantum computations have made quantum devices less effective than classical computers—until now. The core difficulty in building practical quantum computers has been managing the errors caused by interactions between delicate quantum bits (qubits) and their noisy surroundings. This noise introduces faults that can derail calculations, limiting the machines' usefulness compared to classical counterparts. Daniel Lidar, a professor at the University of Southern California (USC) Viterbi School of Engineering and an expert in quantum error correction, has been leading efforts to push past this barrier.

In collaboration with researchers at USC and Johns Hopkins University, Lidar's team has demonstrated a significant and unconditional exponential scaling advantage in quantum computing performance by running algorithms on two IBM Quantum Eagle processors,... Their groundbreaking results were published in the journal Physical Review X in a paper titled "Demonstration of Algorithmic Quantum Speedup for an Abelian Hidden Subgroup Problem." Many previous quantum speedup demonstrations have shown only modest improvements, often polynomial speedups, over classical algorithms. Lidar explains, "An exponential speedup is the most dramatic and sought-after type, meaning that as problem sizes grow, the quantum advantage increases at an exponential rate rather than a linear or polynomial one." The demonstration of unconditional exponential quantum scaling advantage using two 127-qubit computers is a groundbreaking achievement that has far-reaching implications for various fields. Here are some reasons why this accomplishment is so significant:

1. Quantum Supremacy: This experiment confirms the long-held promise of quantum supremacy, which states that a quantum computer can solve problems that are beyond the capabilities of classical computers. By achieving exponential scaling advantage, researchers have demonstrated the superiority of quantum computing over classical computing for certain types of calculations. 2. Advancements in Quantum Error Correction: The successful demonstration of unconditional exponential scaling advantage relies on advanced quantum error correction techniques, including continuous-variable quantum error correction and surface codes. These achievements represent significant progress in developing robust methods to mitigate errors in quantum computing, which is essential for large-scale applications.

3. Scalability: The use of two 127-qubit computers showcases the scalability of quantum computing. As the number of qubits increases, so does the computational power, making it possible to tackle increasingly complex problems. This scalability is crucial for practical applications in fields like chemistry, materials science, and optimization. 4. Exponential Speedup: The exponential speedup achieved by the experiment has significant implications for various industries.

For example: Quantum computers have the potential to speed up computation, help design new medicines, break codes, and discover exotic new materials – but only when they’re functional. A major thing that prevents quantum computers from functioning as normal is the noise or errors that are produced during computations. However, Daniel Lidar, holder of the Viterbi Professorship in Engineering and Professor of Electricl & Computing Engineering at the USC Viterbi School of Engineering, has been iterating on quantum error correction, and in a... The paper off the back of the study, ‘Demonstration of Algorithmic Quantum Speedup for an Abelian Hidden Subgroup Problem’ was published in APS flagship journal ‘Physical Review X’. “There have previously been demonstrations of more modest types of speedups like a polynomial speedup,” said Lidar, who is also the cofounder of Quantum Elements.

“But an exponential speedup is the most dramatic type of speed up that we expect to see from quantum computers.”

People Also Search

• PDF Scientists demonstrate unconditional exponential quantum scaling ...
• New USC study demonstrates unconditional exponential quantum scaling ...
• USC Study Demonstrates Unconditional Exponential Quantum Scaling Advantage
• New USC Study Reveals Unconditional Exponential Quantum Scaling Advantage
• Quantum computers just beat classical ones - ScienceDaily
• Scientists Demonstrate Unconditional Exponential Quantum Scaling ...
• The Significance of Unconditional Exponential Quantum Scaling Advantage
• Researchers demonstrate quantum exponential scaling advantage