Jack Krupansky, a long-time observer of the quantum computing industry, rates quantum progress in 2023, discusses aspirations for fully connected qubits, explores the intersection of quantum and AI, reflects on the importance of qubit quality, and discusses the competitive nature between countries in the quantum field.
Quantum computing is best suited for solving problems with small input data but large solution spaces.
To engage in quantum computing, start by exploring media accounts, tech reports, and using chat GPT language models for guidance.
Deep dives
Jack Kruponski's Interest in Quantum Computing
Jack Kruponski, a former software developer, is interested in exploring the capabilities, limitations, and challenges of quantum computers. Despite not having a specific application in mind, he has been dedicated to understanding what quantum computers can truly achieve. Over the years, his interest has persisted due to ongoing advancements, news flow, and the allure of potential breakthroughs. While he acknowledges the progress made, he still feels that quantum computers have not reached the stage where they can be considered practical.
Getting Started with Quantum Computing
When asked about getting started in quantum computing, Jack suggests starting with media accounts and tech reports to gain a basic understanding of the field. Google searches can provide additional information on specific keywords. He also recommends seeking guidance from chat GPT language models to obtain a more interactive and nuanced response. While no clear path to meaningfully engage with quantum computing from scratch exists, exploring different sources can help build a foundation for learning and discovering more about the field.
Quantum Computing and Artificial Intelligence
Jack shares his thoughts on the intersection of quantum computing and artificial intelligence (AI). He believes that quantum computers are not well-suited for handling big data, a crucial requirement for many AI applications. Instead, he suggests that quantum computing's strength lies in solving problems with small input data but large solution spaces. However, he points out that currently, there are limited AI problems that fit this description. While there is speculation about using quantum computers to generate synthetic data, Jack sees it more as a research project than a practical application.
Assessment of Quantum Progress in 2023
Reflecting on quantum progress in 2023, Jack views it as an average year. While he recognizes milestones such as the publication of a paper on 48 fully connected qubits, he feels that overall progress has not exceeded his expectations. He highlights the need for quantum computers with higher qubit quality and emphasizes the importance of developing better simulation tools for debugging quantum programs. Jack's assessment underscores the ongoing challenges and the need for continued advancements to achieve practical quantum computing.
Jack Krupansky, a long-time observer of the quantum computing industry, is interviewed by Yuval Boger. Jack rates the quantum progress in 2023, revisits his Christmas wish for 48 fully-connected qubits, discusses whether quantum computing is an industry or a sector, provides advice for those entering quantum, discusses his definition of a quantum ChatGPT moment, and much more.
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