NVIDIA/cuda-quantum
Oct 2024 – Oct 2025
13 Months active
Languages Used
C++CCMakeMLIRPythonShellTableGenYAML
Technical Skills
C++Linear AlgebraSoftware DesignUnit TestingBuild SystemC++ Development
Eric Schweitz
PROFILE
Eric Schweitz
Evan Schweitzer contributed to NVIDIA/cuda-quantum by engineering core compiler and runtime features that advanced quantum-classical workflows. He developed and optimized components such as complex matrix support, SROA and QuakeSimplify optimization passes, and robust C++ bridge integrations, focusing on correctness, maintainability, and performance. His work included refactoring QIR code generation, enhancing type safety, and modernizing MLIR pipelines, while also addressing memory management and test reliability. Using C++, MLIR, and Python, Evan delivered solutions that improved runtime efficiency, enabled safer kernel execution, and streamlined code generation. His depth of work ensured scalable infrastructure and reduced regression risk across the codebase.
Overall Statistics
Feature vs Bugs
70%Features
Repository Contributions
137Total
Bugs
23
Commits
137
Features
53
Lines of code
41,117
Activity Months13
Your Network
1371 people
Work History
October 2025
2 Commits • 2 Features
Oct 1, 2025Monthly summary for NVIDIA/cuda-quantum (2025-10): Delivered selected feature improvements and codebase hygiene that enhance performance, reliability, and maintainability. Key deliverables include SROA Hoisting Load Optimization, enabling hoisting of load operations and reconstructing aggregate values from scalar loads, with corresponding test updates; and a Codebase Style Consistency update to the copyright header across C++ files to a single-line style. These changes improve runtime efficiency for SROA-driven paths, reduce maintenance cost, and align the repository with established guidelines. Commit references: 141f2edf75985894b788e0606904809fa75f5ce7 and 38afea0ad90e1db7928429ca8d8768a9034496cb.
2 Commits • 2 Features
Oct 1, 2025Monthly summary for NVIDIA/cuda-quantum (2025-10): Delivered selected feature improvements and codebase hygiene that enhance performance, reliability, and maintainability. Key deliverables include SROA Hoisting Load Optimization, enabling hoisting of load operations and reconstructing aggregate values from scalar loads, with corresponding test updates; and a Codebase Style Consistency update to the copyright header across C++ files to a single-line style. These changes improve runtime efficiency for SROA-driven paths, reduce maintenance cost, and align the repository with established guidelines. Commit references: 141f2edf75985894b788e0606904809fa75f5ce7 and 38afea0ad90e1db7928429ca8d8768a9034496cb.
October 2025
September 2025
7 Commits • 5 Features
Sep 1, 2025September 2025 (NVIDIA/cuda-quantum): Delivered major CI/test speedups and broad modernization across compiler, codegen, and configuration pipelines, while cleaning up deprecated paths and fixing a critical crash. The work yielded faster feedback loops, more maintainable code paths, and reduced risk for upcoming releases.
September 2025
7 Commits • 5 Features
Sep 1, 2025September 2025 (NVIDIA/cuda-quantum): Delivered major CI/test speedups and broad modernization across compiler, codegen, and configuration pipelines, while cleaning up deprecated paths and fixing a critical crash. The work yielded faster feedback loops, more maintainable code paths, and reduced risk for upcoming releases.
August 2025
17 Commits • 5 Features
Aug 1, 2025Month: 2025-08 — NVIDIA/cuda-quantum delivered substantial improvements across IR/bridge safety, kernel invocation flow, transport-layer compatibility, and runtime infrastructure. The work emphasizes safer bit-level handling, robust host-to-device kernel calls, configurable performance optimizations, and modular runtime code, with strong testing coverage and measurable groundwork for future scalability.
17 Commits • 5 Features
Aug 1, 2025Month: 2025-08 — NVIDIA/cuda-quantum delivered substantial improvements across IR/bridge safety, kernel invocation flow, transport-layer compatibility, and runtime infrastructure. The work emphasizes safer bit-level handling, robust host-to-device kernel calls, configurable performance optimizations, and modular runtime code, with strong testing coverage and measurable groundwork for future scalability.
August 2025
July 2025
18 Commits • 7 Features
Jul 1, 2025July 2025 NVIDIA/cuda-quantum monthly summary: Delivered a suite of features and stability improvements across CUDA-Q, focusing on measurement extension, JIT-enabled Grover example, flexible mapping, device integration, and compiler optimizations. Implemented distributed device calls, expanded OpenQASM2 support, and strengthened test coverage and code quality. These changes enhance runtime flexibility, performance, and reliability, enabling broader deployment and easier future extensions.
July 2025
18 Commits • 7 Features
Jul 1, 2025July 2025 NVIDIA/cuda-quantum monthly summary: Delivered a suite of features and stability improvements across CUDA-Q, focusing on measurement extension, JIT-enabled Grover example, flexible mapping, device integration, and compiler optimizations. Implemented distributed device calls, expanded OpenQASM2 support, and strengthened test coverage and code quality. These changes enhance runtime flexibility, performance, and reliability, enabling broader deployment and easier future extensions.
June 2025
24 Commits • 8 Features
Jun 1, 2025June 2025 performance and reliability enhancements across NVIDIA/cuda-quantum focused on core optimization, C++ bridge interoperability, and MLIR pass maintenance. The team delivered targeted optimizations, expanded function support, and stabilized the inliner and pass infrastructure, enabling faster builds, improved runtime behavior, and easier future evolution. Notable business value includes faster compilation via improved constant propagation, broader C++ integration for downstream users, and maintainable, modernized MLIR pipelines.
24 Commits • 8 Features
Jun 1, 2025June 2025 performance and reliability enhancements across NVIDIA/cuda-quantum focused on core optimization, C++ bridge interoperability, and MLIR pass maintenance. The team delivered targeted optimizations, expanded function support, and stabilized the inliner and pass infrastructure, enabling faster builds, improved runtime behavior, and easier future evolution. Notable business value includes faster compilation via improved constant propagation, broader C++ integration for downstream users, and maintainable, modernized MLIR pipelines.
June 2025
May 2025
14 Commits • 7 Features
May 1, 2025May 2025: NVIDIA/cuda-quantum delivered core feature enhancements, reliability fixes, and reinforced maintainability across the compiler and runtime. Key work includes a new cable type and wire-grouping semantics for the Quake dialect, a trap operation to safely handle impossible conditions during code generation, expanded C++ bridge mappings for standard math ops to MLIR, and span-based constant propagation with a reify_span operation. In addition, critical correctness and stability issues were resolved, including adjoint computation fixes for U2/U3 gates and a memory leak fix when device kernels return vectors. These changes collectively improve correctness, safety, and performance potential, while strengthening testing and CI robustness.
May 2025
14 Commits • 7 Features
May 1, 2025May 2025: NVIDIA/cuda-quantum delivered core feature enhancements, reliability fixes, and reinforced maintainability across the compiler and runtime. Key work includes a new cable type and wire-grouping semantics for the Quake dialect, a trap operation to safely handle impossible conditions during code generation, expanded C++ bridge mappings for standard math ops to MLIR, and span-based constant propagation with a reify_span operation. In addition, critical correctness and stability issues were resolved, including adjoint computation fixes for U2/U3 gates and a memory leak fix when device kernels return vectors. These changes collectively improve correctness, safety, and performance potential, while strengthening testing and CI robustness.
April 2025
7 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for NVIDIA/cuda-quantum focusing on delivering business value through reliability improvements, targeted feature work, and infrastructure hardening. Key outcomes include CI stability improvements, safe/verified runtime behavior, and reduced IR complexity to enable faster future optimizations and easier maintenance.
7 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for NVIDIA/cuda-quantum focusing on delivering business value through reliability improvements, targeted feature work, and infrastructure hardening. Key outcomes include CI stability improvements, safe/verified runtime behavior, and reduced IR complexity to enable faster future optimizations and easier maintenance.
April 2025
March 2025
8 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for NVIDIA/cuda-quantum: Focused on stabilizing core compiler passes, strengthening type safety, and delivering optimization and translation capabilities that improve performance potential and reliability. Delivered key features including a CUDA Quantum SROA optimization pass, QIR Array to qvector translation with noise integration, and a dialect-aware StateType migration; stabilized the GetConcreteMatrix pass at the ModuleOp level. Fixed critical bugs including exp_pauli lowering and QIR API conversion to improve reliability and regression coverage. The net impact is higher performance potential, fewer crashes across multi-function scans, and a clearer path for future dialect evolution and interoperability with QIR/noise integration.
March 2025
8 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for NVIDIA/cuda-quantum: Focused on stabilizing core compiler passes, strengthening type safety, and delivering optimization and translation capabilities that improve performance potential and reliability. Delivered key features including a CUDA Quantum SROA optimization pass, QIR Array to qvector translation with noise integration, and a dialect-aware StateType migration; stabilized the GetConcreteMatrix pass at the ModuleOp level. Fixed critical bugs including exp_pauli lowering and QIR API conversion to improve reliability and regression coverage. The net impact is higher performance potential, fewer crashes across multi-function scans, and a clearer path for future dialect evolution and interoperability with QIR/noise integration.
February 2025
18 Commits • 4 Features
Feb 1, 2025February 2025 monthly deliverables for NVIDIA/cuda-quantum: Completed a major QIR codegen architecture refactor, integrated variadic calls into the CC dialect with apply_noise for CUDA-Q kernels, and delivered improvements to operator/type safety and loop analysis. These changes reduce maintenance burden, enable more robust Python semantics handling, and improve overall reliability of the QIR/CUDA-Q pipeline.
18 Commits • 4 Features
Feb 1, 2025February 2025 monthly deliverables for NVIDIA/cuda-quantum: Completed a major QIR codegen architecture refactor, integrated variadic calls into the CC dialect with apply_noise for CUDA-Q kernels, and delivered improvements to operator/type safety and loop analysis. These changes reduce maintenance burden, enable more robust Python semantics handling, and improve overall reliability of the QIR/CUDA-Q pipeline.
February 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 focused on strengthening the C++ bridge integration with the MLIR dialect by enabling character literals and improving test coverage for quantum gate modeling. The primary delivery was character literals support in the C++ bridge, translating character values into constant integer operations in MLIR, with tests validating the handling for Pauli gate operations. These changes improve correctness, reproducibility, and alignment with MLIR-based backends, enabling more reliable quantum experiments and faster iteration.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 focused on strengthening the C++ bridge integration with the MLIR dialect by enabling character literals and improving test coverage for quantum gate modeling. The primary delivery was character literals support in the C++ bridge, translating character values into constant integer operations in MLIR, with tests validating the handling for Pauli gate operations. These changes improve correctness, reproducibility, and alignment with MLIR-based backends, enabling more reliable quantum experiments and faster iteration.
December 2024
8 Commits • 5 Features
Dec 1, 2024December 2024 monthly summary for NVIDIA/cuda-quantum: focused on robustness, test reliability, and maintainability across C++ frontend, tests, code generation, and tooling. Delivered key features and fixes that reduce risk in front-end argument processing, stabilize CI tests, and broaden typing flexibility, while improving developer productivity and code quality.
8 Commits • 5 Features
Dec 1, 2024December 2024 monthly summary for NVIDIA/cuda-quantum: focused on robustness, test reliability, and maintainability across C++ frontend, tests, code generation, and tooling. Delivered key features and fixes that reduce risk in front-end argument processing, stabilize CI tests, and broaden typing flexibility, while improving developer productivity and code quality.
December 2024
November 2024
12 Commits • 3 Features
Nov 1, 2024Month: 2024-11 — NVIDIA/cuda-quantum: Delivered targeted features and fixes that enhance usability, robustness, and capabilities for quantum compilation and tooling. Focused on improving default behavior, expanding data structures, and tightening correctness across the stack, while maintaining strong testing and build hygiene to reduce regression risk. Key outcomes: - nvq++ default MLIR support: Make MLIR the default in nvq++ with a --library-mode switch to revert to the previous default, clarifying test/validation expectations and delivering a clearer default UX. Commit f04463f339e1b5d390eb29d29a6e82e808d13891 ("Switch the default to enable mlir. (#2366)"). - Allocatable quantum structs support: Added support for allocatable quantum structs (vectors, singletons, and references), refactored type conversion/allocation logic, and added tests to validate behavior. Commit 0edc3c1f9ff1b1f2e9e7fc13c9367badc67184aa ("[core] Support for allocatable quantum structs (#2432)"). - Spin observe context bug fix: Correct handling of the observe execution context for spin operations to prevent bugs when multiple codes are present. Commit 3a730c7d06a70cc63ae8c4a5791c83e607579536 ("Fix issue #2382. (#2394)"). - Module operation copy bug fix: Ensure full cloning of module operations to duplicate all artifacts and references, improving artifact handling and maintainability. Commit 582094ff6d244432e6d09b13e88fbd2c01904374 ("Fix for issue #2383. (#2392)"). - Internal quality and robustness improvements: Broad improvements including build warning suppression, test reorganization, enhanced type checks, vector return tests, quake.subveq canonicalization, and loop unrolling refactors to improve robustness and maintainability. Representative commits include 90754d9be30e3f569e9e05da4a10e80ac25795dc, 0561cb1ce05566c61e56803ec5f43c8fcb4d696e, 00daab3b21e862798558e6becce9204e9f728f58, dc2512f3d3c6bd4d4afb5dbbc251629c25ba37dc, 4f2104bb446d51c78051184ae2e5b7f9ca5f7eb9, e858807fdc366b490f6213df66bec38ea5d4f3a7, 75a91d094271fc334eb831f15c7c9f5e4946470b, 15a4dac49320516db0aeb21adae6b7fdfb1117c2 (various improvements).","key_achievements":["nvq++ default MLIR support with --library-mode (https://github.com/NVIDIA/cuda-quantum/commit/f04463f339e1b5d390eb29d29a6e82e808d13891)","Allocatable quantum structs support with tests (commit 0edc3c1f9ff1b1f2e9e7fc13c9367badc67184aa)","Spin observe context bug fix (commit 3a730c7d06a70cc63ae8c4a5791c83e607579536)","Module operation copy bug fix (commit 582094ff6d244432e6d09b13e88fbd2c01904374)","Internal quality/robustness improvements across build/tests/type checks/loop passes (multiple commits)" ]} }``
November 2024
12 Commits • 3 Features
Nov 1, 2024Month: 2024-11 — NVIDIA/cuda-quantum: Delivered targeted features and fixes that enhance usability, robustness, and capabilities for quantum compilation and tooling. Focused on improving default behavior, expanding data structures, and tightening correctness across the stack, while maintaining strong testing and build hygiene to reduce regression risk. Key outcomes: - nvq++ default MLIR support: Make MLIR the default in nvq++ with a --library-mode switch to revert to the previous default, clarifying test/validation expectations and delivering a clearer default UX. Commit f04463f339e1b5d390eb29d29a6e82e808d13891 ("Switch the default to enable mlir. (#2366)"). - Allocatable quantum structs support: Added support for allocatable quantum structs (vectors, singletons, and references), refactored type conversion/allocation logic, and added tests to validate behavior. Commit 0edc3c1f9ff1b1f2e9e7fc13c9367badc67184aa ("[core] Support for allocatable quantum structs (#2432)"). - Spin observe context bug fix: Correct handling of the observe execution context for spin operations to prevent bugs when multiple codes are present. Commit 3a730c7d06a70cc63ae8c4a5791c83e607579536 ("Fix issue #2382. (#2394)"). - Module operation copy bug fix: Ensure full cloning of module operations to duplicate all artifacts and references, improving artifact handling and maintainability. Commit 582094ff6d244432e6d09b13e88fbd2c01904374 ("Fix for issue #2383. (#2392)"). - Internal quality and robustness improvements: Broad improvements including build warning suppression, test reorganization, enhanced type checks, vector return tests, quake.subveq canonicalization, and loop unrolling refactors to improve robustness and maintainability. Representative commits include 90754d9be30e3f569e9e05da4a10e80ac25795dc, 0561cb1ce05566c61e56803ec5f43c8fcb4d696e, 00daab3b21e862798558e6becce9204e9f728f58, dc2512f3d3c6bd4d4afb5dbbc251629c25ba37dc, 4f2104bb446d51c78051184ae2e5b7f9ca5f7eb9, e858807fdc366b490f6213df66bec38ea5d4f3a7, 75a91d094271fc334eb831f15c7c9f5e4946470b, 15a4dac49320516db0aeb21adae6b7fdfb1117c2 (various improvements).","key_achievements":["nvq++ default MLIR support with --library-mode (https://github.com/NVIDIA/cuda-quantum/commit/f04463f339e1b5d390eb29d29a6e82e808d13891)","Allocatable quantum structs support with tests (commit 0edc3c1f9ff1b1f2e9e7fc13c9367badc67184aa)","Spin observe context bug fix (commit 3a730c7d06a70cc63ae8c4a5791c83e607579536)","Module operation copy bug fix (commit 582094ff6d244432e6d09b13e88fbd2c01904374)","Internal quality/robustness improvements across build/tests/type checks/loop passes (multiple commits)" ]} }``
October 2024
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 — NVIDIA/cuda-quantum Key features delivered: Implemented Complex Matrix Support with matrix_2 in the CUDA-Quantum runtime. This new class handles complex-number matrices with operations (multiplication, addition, subtraction, Kronecker product), element access, and robust dimension-mismatch error handling. Comprehensive unit tests were added to ensure correctness and robustness. This work is linked to commit 93c9f918a2e367ba522245365e4afe6be53ae8cb. Major bugs fixed: None reported for this period. Overall impact and accomplishments: Expands numerical modeling capabilities for complex-valued simulations in CUDA-Quantum, enabling richer quantum-classical workflows. The robust unit tests improve reliability and reduce regression risk, supporting future feature work and long-term roadmap goals. Technologies/skills demonstrated: CUDA runtime development, C++/CUDA, complex-number matrix algebra, unit testing (test coverage and robustness), code maintainability and traceability through commits.
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 — NVIDIA/cuda-quantum Key features delivered: Implemented Complex Matrix Support with matrix_2 in the CUDA-Quantum runtime. This new class handles complex-number matrices with operations (multiplication, addition, subtraction, Kronecker product), element access, and robust dimension-mismatch error handling. Comprehensive unit tests were added to ensure correctness and robustness. This work is linked to commit 93c9f918a2e367ba522245365e4afe6be53ae8cb. Major bugs fixed: None reported for this period. Overall impact and accomplishments: Expands numerical modeling capabilities for complex-valued simulations in CUDA-Quantum, enabling richer quantum-classical workflows. The robust unit tests improve reliability and reduce regression risk, supporting future feature work and long-term roadmap goals. Technologies/skills demonstrated: CUDA runtime development, C++/CUDA, complex-number matrix algebra, unit testing (test coverage and robustness), code maintainability and traceability through commits.
October 2024
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Quality Metrics
Correctness89.6%
Maintainability86.8%
Architecture85.8%
Performance79.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++CMakeIRLLVM IRMLIRPythonQKERSTShell
Technical Skills
Argument HandlingBackend DevelopmentBug FixingBuild SystemBuild SystemsC++C++ DevelopmentC++ Standard LibraryCI/CDCMakeCUDACUDA QuantumCUDA-QuantumCode CleanupCode Formatting
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