Which problem is more effectively solved using quantum computing rather than classical computers?

(7 pages) Flip a coin. Heads or tails, right? Sure, once we see how the coin lands. But while the coin is still spinning in the air, it’s neither heads nor tails. It’s some probability of both. This grey area is the simplified foundation of quantum computing. Digital computers have been making it easier for us to process information for decades. But quantum computers are poised to take computing to a whole new level. Here’s how it works: classical computing, the technology that powers your laptop and smartphone, is built on bits. A bit is a unit of information that can store either a zero or a one. By contrast, quantum computing is built on quantum bits, or qubits, which can store zeros and ones. Qubits can represent any combination of both zero and one simultaneously—this is called a superposition. When classical computers solve a problem with multiple variables, they must conduct a new calculation every time a variable changes. Each calculation is a single path to a single result. Quantum computers, however, have a larger working space, which means they can explore a massive number of paths simultaneously. This possibility means that quantum computers can be But the first real proof that quantum computers could handle problems too complicated for classical computers didn’t arrive until 2019, when Google announced that its quantum computer had made a major breakthrough: it solved a problem in 200 seconds that would have taken a classical computer 10,000 years. Although th...

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Quantum Computer courtesy of IBM Researchers at the USC Viterbi School of Engineering have demonstrated a quantum speedup over the most efficient classical computer algorithm possible for what is believed to be the first time. The accomplishment, which was published in the American Physical Society’s flagship journal Physical Review Letters, was performed on an IBM Montreal Quantum Falcon r4 27-qubit device. Daniel Lidar, the Viterbi Professor of Engineering at USC and Director of the USC Center for Quantum Information Science & Technology, and first author Bibek Pokharel, a Research Scientist at IBM Quantum, achieved this quantum speedup advantage in the context of a “bitstring guessing game.” They managed strings up to 26 bits long, significantly larger than previously possible, by effectively suppressing errors typically seen at this scale. (A bit is a binary number that is either zero or one). Quantum computers promise to solve certain problems with an advantage that increases as the problems increase in complexity. However, they are also highly prone to errors, or noise. The challenge, says Lidar, is “to obtain an advantage in the real world where today’s quantum computers are still ‘noisy.’” This noise-prone condition of current quantum computing is termed the “NISQ” (Noisy Intermediate-Scale Quantum) era, a term adapted from the RISC architecture used to describe classical computing devices. Thus, any present demonstration of quantum speed advantage necessitates noi...

1 2 Quantum computers are better at guessing, new study demonstrates Researchers leverage techniques to manage error accumulation, demonstrating the potential of quantum computing in the error-prone NISQ era Date: June 5, 2023 Source: University of Southern California Summary: Researchers have demonstrated a quantum speedup over the most efficient classical computer algorithm possible for what is believed to be the first time. The accomplishment was performed on an IBM Montreal Quantum Falcon r4 27-qubit device. Share: Daniel Lidar, the Viterbi Professor of Engineering at USC and Director of the USC Center for Quantum Information Science & Technology, and first author Dr. Bibek Pokharel, a Research Scientist at IBM Quantum, achieved this quantum speedup advantage in the context of a "bitstring guessing game." They managed strings up to 26 bits long, significantly larger than previously possible, by effectively suppressing errors typically seen at this scale. (A bit is a binary number that is either zero or one). Quantum computers promise to solve certain problems with an advantage that increases as the problems increase in complexity. However, they are also highly prone to errors, or noise. The challenge, says Lidar, is "to obtain an advantage in the real world where today's quantum computers are still 'noisy.'" This noise-prone condition of current quantum computing is termed the "NISQ" (Noisy Intermediate-Scale Quantum) era, a term adapted from the RISC architecture used...

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• Courses • Summer Skill Up • • • Data Structures and Algorithms • • • • • • • For Working Professionals • • • • • • For Students • • • • • • • • Programming Languages • • • • Web Development • • • • • Machine Learning and Data Science • • • New Courses • • • • School Courses • • • • Tutorials • DSA • • • • • Data Structures • • • • Linked List • • • • • • • Tree • • • • • • • • • • • • • • • • Algorithms • Analysis of Algorithms • • • • • • • • • • • • • • Searching Algorithms • • • • Sorting Algorithms • • • • • • • • • • • • • • • • • • • • • • • • System Design • System Design Tutorial • • • • • • • • • • • • Software Design Patterns • • • • • • • • • • • Interview Corner • • • • • • • • • • Languages • • • • • • • • • • • • • Web Development • • • • • CSS Frameworks • • • • • • • • • • JavaScript Frameworks • • • • • • JavaScript Libraries • • • • • • • • • • • • • • • • • • • • • • School Learning • • • Mathematics • • • • • • • • • CBSE Syllabus • • • • • • Maths Notes (Class 8-12) • • • • • • Maths Formulas (Class 8 -11) • • • • • NCERT Solutions • • • • • • RD Sharma Solutions • • • • • • Science Notes • • • • Physics Notes (Class 8-12) • • • • • • Chemistry Notes (Class 8-12) • • • • • • Biology Notes • • • • • Social Science Syllabus • • • • • Social Science Notes • SS Notes (Class 7-12) • • • • • CBSE History Notes (Class 7-10) • • • • CBSE Geography Notes (Class 7-10) • • • • CBSE Civics Notes (Class 7-10) • • • Commerce • • • • • • • CBSE Previous Year Papers...

Quantum Computer courtesy of IBM Researchers at the USC Viterbi School of Engineering have demonstrated a quantum speedup over the most efficient classical computer algorithm possible for what is believed to be the first time. The accomplishment, which was published in the American Physical Society’s flagship journal Physical Review Letters, was performed on an IBM Montreal Quantum Falcon r4 27-qubit device. Daniel Lidar, the Viterbi Professor of Engineering at USC and Director of the USC Center for Quantum Information Science & Technology, and first author Bibek Pokharel, a Research Scientist at IBM Quantum, achieved this quantum speedup advantage in the context of a “bitstring guessing game.” They managed strings up to 26 bits long, significantly larger than previously possible, by effectively suppressing errors typically seen at this scale. (A bit is a binary number that is either zero or one). Quantum computers promise to solve certain problems with an advantage that increases as the problems increase in complexity. However, they are also highly prone to errors, or noise. The challenge, says Lidar, is “to obtain an advantage in the real world where today’s quantum computers are still ‘noisy.’” This noise-prone condition of current quantum computing is termed the “NISQ” (Noisy Intermediate-Scale Quantum) era, a term adapted from the RISC architecture used to describe classical computing devices. Thus, any present demonstration of quantum speed advantage necessitates noi...

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

1 2 Quantum computers are better at guessing, new study demonstrates Researchers leverage techniques to manage error accumulation, demonstrating the potential of quantum computing in the error-prone NISQ era Date: June 5, 2023 Source: University of Southern California Summary: Researchers have demonstrated a quantum speedup over the most efficient classical computer algorithm possible for what is believed to be the first time. The accomplishment was performed on an IBM Montreal Quantum Falcon r4 27-qubit device. Share: Daniel Lidar, the Viterbi Professor of Engineering at USC and Director of the USC Center for Quantum Information Science & Technology, and first author Dr. Bibek Pokharel, a Research Scientist at IBM Quantum, achieved this quantum speedup advantage in the context of a "bitstring guessing game." They managed strings up to 26 bits long, significantly larger than previously possible, by effectively suppressing errors typically seen at this scale. (A bit is a binary number that is either zero or one). Quantum computers promise to solve certain problems with an advantage that increases as the problems increase in complexity. However, they are also highly prone to errors, or noise. The challenge, says Lidar, is "to obtain an advantage in the real world where today's quantum computers are still 'noisy.'" This noise-prone condition of current quantum computing is termed the "NISQ" (Noisy Intermediate-Scale Quantum) era, a term adapted from the RISC architecture used...

(7 pages) Flip a coin. Heads or tails, right? Sure, once we see how the coin lands. But while the coin is still spinning in the air, it’s neither heads nor tails. It’s some probability of both. This grey area is the simplified foundation of quantum computing. Digital computers have been making it easier for us to process information for decades. But quantum computers are poised to take computing to a whole new level. Here’s how it works: classical computing, the technology that powers your laptop and smartphone, is built on bits. A bit is a unit of information that can store either a zero or a one. By contrast, quantum computing is built on quantum bits, or qubits, which can store zeros and ones. Qubits can represent any combination of both zero and one simultaneously—this is called a superposition. When classical computers solve a problem with multiple variables, they must conduct a new calculation every time a variable changes. Each calculation is a single path to a single result. Quantum computers, however, have a larger working space, which means they can explore a massive number of paths simultaneously. This possibility means that quantum computers can be But the first real proof that quantum computers could handle problems too complicated for classical computers didn’t arrive until 2019, when Google announced that its quantum computer had made a major breakthrough: it solved a problem in 200 seconds that would have taken a classical computer 10,000 years. Although th...