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World Congress 2025 • Aug 20, 2025 • Session details

Comfortably Quantum with Qrisp

Matic Petrič

Tired of manual, gate-by-gate quantum circuits? Qrisp lets you build complex algorithms using familiar concepts like variables and functions. Stop wrestling with physics and start coding.

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#1 about 3 min

Introduction to the open source Qrisp framework

How constructing a framework within the Eclipse Foundation encourages open contributions to abstract quantum software.

#2 about 3 min

Transitioning from quantum circuits to high-level variables

Developing quantum algorithms via variables provides a structural advantage over manually mapping low-level circuit behaviors.

#3 about 3 min

Demonstrating quantum variable syntax for scalable algorithms

Abstracting operations through variable declarations enables teams to collaborate dynamically without manually integrating circuit charts.

#4 about 4 min

Executing mathematical arithmetic using quantum floats

How defining explicit properties within quantum float objects naturally maps standard arithmetic behavior into superposition.

#5 about 3 min

Evaluating logical expressions via quantum booleans

Structuring logical control flow utilizing discrete boolean components evaluates state vectors dynamically across conditional thresholds.

#6 about 3 min

Benchmarking metrics for Shor's algorithm implementation

Code abstraction natively reduces total execution logic depth to outperform raw code benchmarks in classic cryptographic applications.

#7 about 2 min

Defining molecular Hamiltonians with the operators module

Combining fundamental creation and annihilation expressions dynamically calculates Hamiltonian values crucial to core chemical approximations.

#8 about 2 min

Compiling quantum software architectures using machine learning integrations

Bridging Python abstractions against machine learning translation paths enables compilation toward highly optimized intermediate hardware code.

#9 about 3 min

Solving molecular ground states via simulation primitives

Combining quantum phase mapping with operator structures securely resolves complex chemical ground state energy approximations.

#10 about 3 min

Automating complex circuit dependencies with quantum environments

Controlling looping logic contexts through environment wrappers automates intricate circuit orchestration steps cleanly on auxiliary paths.

#11 about 3 min

Recycling system memory dynamically via automatic uncomputation

Introducing automatic uncomputation principles automatically resets assigned structures back to base functionality during runtime sequences.

#12 about 4 min

Executing non-unitary system models through auxiliary qubit combinations

Building linear combinations of unitary algorithms simulates deep multidimensional targets accurately while controlling strict operational success criteria.

Matching moments

2:44 min

Introducing Eclipse Qrisp to classical developers

Matic Petrič Matic Petrič +1 · WWC 2024

3:28 min

Introducing robust high-level quantum programming abstractions

Matic Petrič Matic Petrič +1 · WWC 2024

4:09 min

Discussing quantum computational boundaries and learning pathways

Alex Waldherr Alex Waldherr · WWC 2022

1:03 min

Empowering enterprise developers by standardizing Python-based Qrisp frameworks

Ilie-Daniel Gheorghe-Pop Ilie-Daniel Gheorghe-Pop · WWC Europe 2026

2:50 min

Key takeaways and practical frameworks for quantum adoption

Julian Julian · WWC 2025

1:28 min

Exploring quantum execution frameworks and hardware layouts

Alex Waldherr Alex Waldherr · WWC 2022

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