> Markdown version of [/videos/934-quantum-computing-the-tiny-and-the-big-challenges](https://www.wearedevelopers.com/videos/934-quantum-computing-the-tiny-and-the-big-challenges). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Quantum Computing - The tiny and the big challenges How do you debug code when physics prevents you from copying quantum states? Uncover the monumental hardware and software bottlenecks engineers must conquer to unlock commercial quantum computing. - **Speakers:** [Alex Waldherr](https://www.wearedevelopers.com/@alex-waldherr) - **Event:** World Congress 2024 - **Published:** August 20, 2024 - **Duration:** 28:26 - **URL:** https://www.wearedevelopers.com/videos/934-quantum-computing-the-tiny-and-the-big-challenges ## Summary Quantum computing sits at the intersection of experimental hardware design and theoretical software development, relying on precise manipulations of subatomic energy levels using tailored wavelengths of light or microwaves. At the physical layer, engineers face monumental scaling challenges due to the fragmented nature of current hardware architectures, which range from photonic networks and neutral atoms to varying designs of superconducting circuits. Creating functional qubits requires intricate components like insulating junctions to un-harmonize and isolate discrete energy states, alongside rigorous environmental shielding to preserve qubit stability—measured in T1 and T2 times—before thermal noise or accidental environmental interactions trigger premature wavefunction collapse. On the software side, developers construct algorithms completely differently than their classical counterparts, heavily leveraging open-source logical frameworks like Qiskit to interface with backends. Operations mathematically map state vectors onto a computational vector space, applying complex matrices to manipulate probabilities rather than binary switches. The foundational "baking recipe" of any reliable quantum application relies on curating qubits through superposition, entanglement, and precise wave interference. This interference mechanism is what actually solves problems, constructively amplifying the correct computational output probabilities while dynamically canceling out incorrect ones. Transitioning these probabilistic logic models into commercial utility requires navigating unique bottlenecks, such as the fundamental inability to copy quantum states and the severe difficulty of circuit debugging. Expanding this ecosystem demands more than hardware progression; it requires standardizing a highly trained technical workforce, honest technology marketing, and a rigorous evaluation framework to ensure algorithmic ideas are reproducible, legally accessible, and transferable across architectures. Ultimately, as the discipline scales to solve previously impossible molecular and data puzzles, professionals must remember that "what we observe is not nature in itself, but nature exposed to our method of questioning." **Keywords:** quantum computing hardware architectures, superconducting circuit design, qubit decoherence and stability, cryogenic quantum cooling requirements, trapped ions and neutral atoms, quantum error correction codes, qiskit python programming framework, hilbert space state vectors, bloch sphere geometric visualization, quantum gate phase interference, probabilistic algorithm debugging, un-copyable quantum state storage, quantum hardware qubit connectivity, quantum technology reproducibility, quantum software workforce development ## Chapters 1. **Historical context of atomic energy levels** (00:04) — How early discoveries of atomic energy radiation paved the way for modern quantum mechanics. 1. **Introduction to quantum circuits and technology** (02:08) — An overview of applying specific light wavelengths as quantum gates to manipulate hardware qubit states. 1. **Superconducting quantum hardware architectures and mechanics** (03:19) — The mechanics of superconducting circuits utilizing capacitors, inductors, and specialized junctions to maintain discrete state operations. 1. **Alternative qubit architectures and hardware scaling challenges** (08:35) — A survey of alternative methodologies for constructing qubits and the general physical obstacles preventing global scale. 1. **Transistor structures and nuclear magnetic resonance technology** (10:30) — Leveraging classic semiconductor designs and nuclear magnetic resonance to manipulate spin qubits and execute algorithms. 1. **Mathematical foundations of quantum software operations** (12:17) — How wave functions, complex coefficients, and state vectors map multi-qubit probabilities within a defined mathematical space. 1. **Designing interference circuits with quantum hardware gates** (16:22) — The procedural steps to establish an algorithm using computational superposition, interference, and specific phase rotations. 1. **Live coding quantum circuit simulations using Qiskit** (18:32) — Building and executing a basic quantum circuit using a software simulator to visualize the matrix outcome. 1. **State measurement basics and the Qiskit runtime primitives** (24:24) — Integrating updated runtime primitives and observables to extract accurate computational outcome measurement counts. 1. **Software development challenges in quantum computing ecosystems** (25:45) — Anticipated production difficulties surrounding classical data storage, holistic error correction, and standard debugging methodologies. 1. **Framework for evaluating emerging quantum technology solutions** (26:38) — A structured approach to determine if novel quantum concepts are technologically sound, reproducible, and legally compliant. ## Related Moments - [Discussing quantum computational boundaries and learning pathways](https://www.wearedevelopers.com/videos/481-what-is-quantum-computing) (from "What is quantum computing?") - [Reviewing the IBM quantum computing hardware roadmap](https://www.wearedevelopers.com/videos/137-hands-on-journey-to-quantum-computing-with-ibm) (from "Hands-on Journey to Quantum Computing with IBM") - [Overcoming hardware limits with quantum error correction](https://www.wearedevelopers.com/videos/1145-the-quantum-computing-future) (from "The Quantum Computing Future") - [Current quantum hardware development and competing tech models](https://www.wearedevelopers.com/videos/614-the-quantum-leap-redefining-computing-and-its-applications) (from "The Quantum Leap: Redefining Computing and Its Applications") - [Current state of quantum hardware and market investments](https://www.wearedevelopers.com/videos/1443-how-lufthansa-industry-solutions-is-preparing-for-the-quantum-age) (from "How Lufthansa Industry Solutions is preparing for the Quantum Age! ") - [Developing hardware-agnostic architecture for quantum computing platforms](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success) (from "Architecting the Future: Leveraging AI, Cloud, and Data for Business Success") ## Related Articles - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [WWC24 Talk - Scott Hanselman - AI: Superhero or Supervillain?](https://www.wearedevelopers.com/magazine/469-wwc24-talk-scott-hanselman-ai-superhero-or-supervillain) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Data Science & more: The Lopez dilemma](https://www.wearedevelopers.com/magazine/10-data-science-more-the-lopez-dilemma) ## Related Jobs - [Principal Software Engineer, Enterprise AI Platform](https://www.wearedevelopers.com/jobs/ext/1467292-principal-software-engineer-enterprise-ai-platform) at **GitHub** - [Senior Software Engineer](https://www.wearedevelopers.com/jobs/ext/15942-senior-software-engineer) at **GitHub** - [Scientific Software Developer - Tolerance Analysis & Algorithm development](https://www.wearedevelopers.com/jobs/ext/1417919-scientific-software-developer-tolerance-analysis-algorithm-development) at **ZEISS Group** - [Senior Engineer, Infrastructure Platform](https://www.wearedevelopers.com/jobs/ext/328836-senior-engineer-infrastructure-platform) at **Intercom, Inc.** - [Security Architect - AI](https://www.wearedevelopers.com/jobs/ext/1581899-security-architect-ai) at **ZEISS Group** - [Head of AI Applications](https://www.wearedevelopers.com/jobs/ext/1231536-head-of-ai-applications) at **ZEISS Group**