harshangrjn / QuantumCircuitOpt.jl

A Julia/JuMP Package for Optimal Quantum Circuit Design
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Fixed unitary matrix elements #61

Closed harshangrjn closed 2 years ago

codecov[bot] commented 2 years ago

Codecov Report

Base: 94.76% // Head: 96.05% // Increases project coverage by +1.29% :tada:

Coverage data is based on head (d499e44) compared to base (db12d63). Patch coverage: 94.86% of modified lines in pull request are covered.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #61 +/- ## ========================================== + Coverage 94.76% 96.05% +1.29% ========================================== Files 13 13 Lines 1776 1876 +100 ========================================== + Hits 1683 1802 +119 + Misses 93 74 -19 ``` | [Impacted Files](https://codecov.io/gh/harshangrjn/QuantumCircuitOpt.jl/pull/61?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Harsha+Nagarajan) | Coverage Δ | | |---|---|---| | [src/QuantumCircuitOpt.jl](https://codecov.io/gh/harshangrjn/QuantumCircuitOpt.jl/pull/61/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Harsha+Nagarajan#diff-c3JjL1F1YW50dW1DaXJjdWl0T3B0Lmps) | `100.00% <ø> (ø)` | | | [src/data.jl](https://codecov.io/gh/harshangrjn/QuantumCircuitOpt.jl/pull/61/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Harsha+Nagarajan#diff-c3JjL2RhdGEuamw=) | `92.48% <50.00%> (-0.41%)` | :arrow_down: | | [src/log.jl](https://codecov.io/gh/harshangrjn/QuantumCircuitOpt.jl/pull/61/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Harsha+Nagarajan#diff-c3JjL2xvZy5qbA==) | `94.07% <92.59%> (+4.60%)` | :arrow_up: | | [src/constraints.jl](https://codecov.io/gh/harshangrjn/QuantumCircuitOpt.jl/pull/61/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Harsha+Nagarajan#diff-c3JjL2NvbnN0cmFpbnRzLmps) | `97.90% <95.65%> (+1.12%)` | :arrow_up: | | [src/utility.jl](https://codecov.io/gh/harshangrjn/QuantumCircuitOpt.jl/pull/61/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Harsha+Nagarajan#diff-c3JjL3V0aWxpdHkuamw=) | `95.25% <96.05%> (+0.49%)` | :arrow_up: | | [src/variables.jl](https://codecov.io/gh/harshangrjn/QuantumCircuitOpt.jl/pull/61/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Harsha+Nagarajan#diff-c3JjL3ZhcmlhYmxlcy5qbA==) | `98.33% <97.29%> (+5.90%)` | :arrow_up: | | [src/objective.jl](https://codecov.io/gh/harshangrjn/QuantumCircuitOpt.jl/pull/61/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Harsha+Nagarajan#diff-c3JjL29iamVjdGl2ZS5qbA==) | `96.87% <100.00%> (+15.29%)` | :arrow_up: | | [src/qc\_model.jl](https://codecov.io/gh/harshangrjn/QuantumCircuitOpt.jl/pull/61/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Harsha+Nagarajan#diff-c3JjL3FjX21vZGVsLmps) | `97.67% <100.00%> (+1.58%)` | :arrow_up: | | [src/solution.jl](https://codecov.io/gh/harshangrjn/QuantumCircuitOpt.jl/pull/61/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Harsha+Nagarajan#diff-c3JjL3NvbHV0aW9uLmps) | `96.66% <100.00%> (+3.33%)` | :arrow_up: | | [src/types.jl](https://codecov.io/gh/harshangrjn/QuantumCircuitOpt.jl/pull/61/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Harsha+Nagarajan#diff-c3JjL3R5cGVzLmps) | `100.00% <100.00%> (ø)` | | | ... and [7 more](https://codecov.io/gh/harshangrjn/QuantumCircuitOpt.jl/pull/61/diff?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Harsha+Nagarajan) | | Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Harsha+Nagarajan). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Harsha+Nagarajan)

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