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⚡ Bolt: Lazy load Discrete Fourier Transform (DFT) matrix to save memory#73

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⚡ Bolt: Lazy load Discrete Fourier Transform (DFT) matrix to save memory#73
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bolt-dft-memory-optimization-11273391844401933478

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Bolt: Lattice Initialization Memory Optimization

💡 What: The self._dft matrix (Discrete Fourier Transform matrix) inside Lattice.__init__ was eagernessly being allocated using Backend.zeros((self._ns, self._ns), dtype=complex). This was changed to self._dft = None with lazy evaluation added to the @property def dft(self).

🎯 Why: For large lattice sites (e.g. 100x100x100 = 1 million sites), the $N_s \times N_s$ matrix equates to a 1,000,000 x 1,000,000 dense complex matrix (~14TB in size). This eagerly requested allocation caused instant memory exhaustion and failed the constructor entirely.

📊 Impact: Initialization times and memory overhead for Lattice have plummeted for large dimensions. A test instantiation of a $10^6$ site simple 3D lattice fell from instant ArrayMemoryError to roughly 0.00018 seconds setup time.

🔬 Measurement: Try to instantiate a 100x100x100 lattice SimpleLattice(dim=3, lx=100, ly=100, lz=100) locally. Previous execution crashes immediately, but after the change completes normally.


PR created automatically by Jules for task 11273391844401933478 started by @makskliczkowski

Initializing a `Lattice` with a large number of sites eagernessly allocated an $N_s \times N_s$ `complex128` zero array for `self._dft`. For $10^6$ sites, this resulted in an attempt to allocate ~14TB of memory causing instant MemoryError/OOM. This commit optimizes this by setting `self._dft = None` on initialization, and safely lazily generating the matrix inside the `dft` property via `self.calculate_dft_matrix()`.

Co-authored-by: makskliczkowski <48489493+makskliczkowski@users.noreply.github.com>
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Copilot AI review requested due to automatic review settings May 22, 2026 20:53
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Copilot encountered an error and was unable to review this pull request. You can try again by re-requesting a review.

Initializing a `Lattice` with a large number of sites eagernessly allocated an $N_s \times N_s$ `complex128` zero array for `self._dft`. For $10^6$ sites, this resulted in an attempt to allocate ~14TB of memory causing instant MemoryError/OOM. This commit optimizes this by setting `self._dft = None` on initialization, and safely lazily generating the matrix inside the `dft` property via `self.calculate_dft_matrix()`.

Co-authored-by: makskliczkowski <48489493+makskliczkowski@users.noreply.github.com>
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