Tech Deep Dives

To really understand quantum computing, we need to look under the hood. This section goes step by step through the mathematics of gates, interference, and multi-qubit systems. You will see how linear algebra connects directly to quantum circuits, why reversibility matters, and how entanglement creates complexity that classical computers cannot handle.

These videos are the technical foundation for advanced quantum programming.

Deep Dive Videos

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QAOA vs. Classical Search: How Quantum Optimization Redirects the Search
FINANCE#20
Released 02 Apr 2026

QAOA vs. Classical Search: How Quantum Optimization Redirects the Search

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This video visually compares a classical sequential search with quantum optimization using QAOA. While the classical approach evaluates candidates one by one, QAOA reshapes probabilities across the full solution space to guide the search toward better outcomes. The side-by-side visualization shows how both approaches behave and why quantum optimization differs fundamentally from classical candidate-by-candidate evaluation. The QAOA search shown here is based on a real QAOA run, not a mockup.

Quantum Chemistry 2: Hamiltonian Simulation Algorithms (VQE, ADAPT-VQE, QPE, Trotterization, Qubitization)
CHEMISTRY#18
Released 06 Mar 2026

Quantum Chemistry 2: Hamiltonian Simulation Algorithms (VQE, ADAPT-VQE, QPE, Trotterization, Qubitization)

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The video builds on the first chemistry introduction and compares the main quantum algorithm choices for estimating molecular ground-state energies in a structured, step-by-step overview. It explains which approaches are relevant on current NISQ hardware, which belong to the fault-tolerant era, and why that distinction matters when assessing realistic timelines for quantum advantage in chemistry. Coverage includes VQE and ADAPT-VQE as near-term hybrid methods, as well as Quantum Phase Estimation with trotterization and with qubitization, including the key tradeoffs in circuit depth, precision, measurement effort, and asymptotic scaling. The goal is to provide a clear framework for understanding what is feasible now and what may become important later. This video was created for an audience seeking a technically informed comparison.

Quantum Chemistry 1: Hamiltonian Simulation
CHEMISTRY#17
Released 06 Mar 2026

Quantum Chemistry 1: Hamiltonian Simulation

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The video introduces quantum computing for chemistry through the example of molecular ground state problems and explains why chemistry is often considered a leading candidate for eventual real quantum advantage. It outlines how chemical systems are translated into quantum representations, why ground state energy matters in practice, and which core concepts are needed before moving to algorithms. Coverage includes the motivation from chemistry, the idea of the electronic Hamiltonian, and the basic pipeline from molecule to qubits. The video is designed to build intuition without losing scientific rigor. This video was created for a broad audience interested in chemistry and quantum computing.

QAOA Masterclass for Finance: From QUBO to Circuits, Mixers, Constraints, and Credible Reporting
FINANCE#14
Released 09 Feb 2026

QAOA Masterclass for Finance: From QUBO to Circuits, Mixers, Constraints, and Credible Reporting

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This QAOA masterclass is a practical, end to end deep dive into constrained optimization with quantum circuits. A quick word of warning: we go all the way down to the low level, including unitaries, gate mappings, and mixer design details. The session starts from problem formulation and shows how to translate real objectives and constraints into QUBO and Ising models, then builds the corresponding cost unitary and maps it to gates. It then focuses on mixer choices, including why the standard X mixer can fail for constrained problems and how constraint-aware mixers can improve feasibility and sampling quality. We close with parameter optimization patterns, common pitfalls, and what to report so results are credible, such as best feasible samples, feasibility rates, and robustness across seeds. This session was created for finance-style optimization use cases.

Multi Qubit Systems
DEEPDIVE#6
Released 18 May 2025

Multi Qubit Systems

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🧠 In this Deep Dive, we scale up to multi-qubit systems and explore entanglement - the third quantum superpower. You’ll see how the tensor product builds 4-state vectors, how CNOT creates Bell states, and why this quickly gets too big for classical computers.

Quantum Interference
DEEPDIVE#5
Released 04 May 2025

Quantum Interference

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🌀 In this video, we explore complex numbers and their phases - the hidden dimension powering quantum computing. Learn how phase shifts enable ✨ quantum interference.

Mastering Quantum Gates
DEEPDIVE#4
Released 02 May 2025

Mastering Quantum Gates

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🔧 Ready to build your quantum toolbox? Now that you've seen your first circuit, it's time to learn how quantum gates really work. We revisit vectors and matrices, uncover why quantum gates must be reversible, and explore key players like the X and Hadamard gates.

QAOA Today: How Far Can NISQ Hardware Really Go? (as of April 2026)
STQ#4
Released 10 Apr 2026

QAOA Today: How Far Can NISQ Hardware Really Go? (as of April 2026)

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QAOA is often presented as a promising approach for tackling complex optimization problems. But its real value depends on what today’s hardware can actually support. Current NISQ devices come with strict limitations: noise, limited connectivity, and shallow circuit depths. These are not minor details, they fundamentally shape what QAOA can and cannot achieve in practice. This video takes a grounded look at these constraints and translates them into realistic expectations. Not as a final verdict, but as a clearer picture of where we stand today and what remains out of reach.