Quantum computing has experienced significant milestones over the past few decades. In 1980, American physicist Paul Benioff published the first description of a quantum computer. A year later, Richard Feynman highlighted the need for quantum computers to accurately simulate physical phenomena.
David Deutsch reformulated Turing’s work using quantum mechanics in 1985 to devise a “universal quantum computer.” In 1994, Peter Shor introduced a quantum algorithm that could efficiently factorize large numbers, raising concerns about modern encryption methods. Lov Grover developed a quantum algorithm for unstructured search in 1996. Two years later, a team led by Isaac Chuang successfully ran Grover’s algorithm on a computer using two qubits.
In 1999, physicists at NEC used superconducting circuits to create qubits, showing they could control them electronically. This approach is now used by companies like Google and IBM. D-Wave released the first commercial quantum computer in 2011, featuring 128 superconducting qubits.
In 2016, IBM made its five-qubit processor available over the cloud, attracting over 17,000 registered users within two weeks. Google claimed “quantum supremacy” in 2019 by using 53 qubits to perform a calculation in 200 seconds that would take a supercomputer roughly 10,000 years. However, in 2022, a group from the Chinese Academy of Sciences devised a classical algorithm that could simulate Google’s quantum operations in just 15 hours on 512 GPUs.
Milestones in quantum computing history
In 2023, QuEra broke the record for the number of logical qubits, which are immune to errors and can reliably carry out operations. These milestones highlight the rapidly evolving landscape of quantum computing and its potential to transform how we approach complex computational problems.
Recent experiments suggest that quantum computers capable of solving real-world problems may not be far away. Researchers have made progress in reducing error rates, increasing qubit coherence times, and developing advanced algorithms tailored to quantum computers. Zaira, the Director of Science and Technology for the Office of the Director of Research at IBM, explains that quantum mechanics describes how nature behaves at the fundamental level.
She states, “Quantum computation is really the only way to access all those unique properties. The idea is that if we can harness and control those properties, then we’ll be able to process information fundamentally different to how we do it today.
Zaira believes that quantum computers can help discover new materials, understand problems in chemistry and physics, and solve problems involving global properties. She emphasizes that quantum computers are specialized computing accelerators that can provide dramatic speedup for specific but important problems.
Zaira’s love for physics began in college, and she pursued a PhD in Condensed Matter Theory at Stanford. She has worked at various institutions, including the Max Planck Institute, the U.S. Department of State, DARPA, and IARPA. In 2017, she joined IBM’s quantum theory team to research quantum error correction and theoretical research in superconducting quantum computing device physics.
Zaira stresses the importance of diversity, equity, and inclusion in science and technology, stating that without it, we would end up with limited solutions and innovations that exclude the needs of large portions of our population. She believes that human ingenuity and intellect are not determined by borders, nationalities, race, or origin.
Cameron is a highly regarded contributor in the rapidly evolving fields of artificial intelligence (AI) and machine learning. His articles delve into the theoretical underpinnings of AI, the practical applications of machine learning across industries, ethical considerations of autonomous systems, and the societal impacts of these disruptive technologies.
