Introductions00:01:20 Yonatan’s beginnings00:03:49 The simulation question00:05:51 How physics led to quantum computing00:14:56 Richard Feynman00:16:44 On the irreversibility of normal computers00:21:25 Logic gates00:25:04 Qubits00:30:11 An example of qubits00:38:19 Why simulating a quantum computer matters00:42:23 NP-complete problems00:48:57 More people at a higher development level are needed00:54:16 Quantum machines in the middle layer01:02:56 Working at Quantum Machines01:05:05 FarewellsResources mentioned in this episode:Links:Quantum Machines:Website: https://www.quantum-machines.co/Careers: https://www.quantum-machines.co/careers/Yonatan Cohen:Linkedin: https://www.linkedin.com/in/yonatan-cohen-10076b113/References:Getting Started with Quantum Computinghttps://builtin.com/software-engineering-perspectives/how-to-learn-quantum-computingIf you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/Reach out to us via email: [email protected] can also follow Programming Throwdown on Facebook | Apple Podcasts | Spotify | Player.FM Join the discussion on our DiscordHelp support Programming Throwdown through our Patreon

Introduction

The path to founding Quantum Machines

The intersection of physics and computing

The origins of quantum computing

The Physics of Reversible Computation

Defining Quantum Gates

Physical Implementation of Qubits

Single-Qubit Gates

Multi-Qubit Gates and Superconducting Circuits

The Race for Quantum Hardware

The Role of Quantum Error Correction

The limits of quantum computing for NP-complete problems

How interference shapes quantum algorithms

Hype vs. Reality in the field

The role of hardware in algorithm development

Cloud access for quantum education

The role of control layers in the stack

The Role of FPGAs in Quantum Control

Mid-Circuit Measurements and Branching

Working at Quantum Machines