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flowerthrower merged 2 commits into from
Oct 9, 2026
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đź“ť Update Josh Izaac talk details #13

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đź“ť Update Josh Izaac talk details
flowerthrower Oct 9, 2026
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🔀 Resolve Josh update against source formatting
flowerthrower Oct 9, 2026
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Expand Up @@ -733,7 +733,13 @@ <h3>Jerry Chow <span class="affiliation">(IBM)</span></h3>
</div>
<small class="talk-duration">35 min</small>
</article>
<article class="talk-card schedule-row">
<article
class="talk-card schedule-row speaker-card"
role="button"
tabindex="0"
aria-expanded="false"
aria-controls="josh-details"
>
<div class="talk-time">09:50–10:25</div>
<div
class="speaker-portrait portrait-cyan"
Expand All @@ -750,10 +756,62 @@ <h3>Jerry Chow <span class="affiliation">(IBM)</span></h3>
<h3>Josh Izaac <span class="affiliation">(Xanadu)</span></h3>
<p class="talk-title">
Python in the Front, Party in the Backline: Compiling
Low-Latency Quantum Workloads across CPUs, GPUs, and FPGAs
Low-Latency Quantum Workloads across CPUs, GPUs and FPGAs
</p>
</div>
<small class="talk-duration">35 min</small>
<div
class="speaker-details"
id="josh-details"
hidden
>
<h4>Abstract</h4>
<p>
The transition from quantum research and development to
production-grade, fault-tolerant workload execution remains
one of the most significant challenges in the industry. Just
as a live band relies on hidden stage infrastructure (the
“backline”) to make a performance possible, quantum
processors depend on highly performant classical computing
working in perfect lockstep.
</p>
<p>
While high-level Python frameworks like PennyLane provide an
accessible entry point for quantum algorithm design,
fault-tolerant quantum computing (FTQC) relies heavily on
classical processing, requiring different classical
accelerators and tiers of latency. In particular, real-time
quantum error correction (QEC) requires extremely tight,
microsecond feedback loops with CPUs, GPUs, FPGAs, and
ASICs.
</p>
<p>
In this talk, we introduce Backline, a heterogeneous
compilation framework built on PennyLane and Catalyst.
Backline enables a “one-stop shop” workflow where
researchers and developers can write intertwined classical
and quantum code in Python and compile it for low-latency
execution across CPUs, GPUs, FPGAs, and QPUs. Write a QEC
encoder or decoder from Python (or bring your own!), test it
with meaningful quantum algorithms, and immediately deploy
it for near-real-time prototyping on actual classical and
quantum hardware — while supporting the need to drop through
abstractions and write increasingly optimized and low-level
code.
</p>
<h4>Biography</h4>
<p>
Josh Izaac is a Senior Staff Quantum Scientist at Xanadu,
where he has worked over the last 9 years developing open
source quantum software platforms, including PennyLane,
Strawberry Fields, and Catalyst. His interests lie in
enabling quantum research and development through novel
quantum software, as well as supporting the growing quantum
source community through documentation and content. Prior to
joining Xanadu, he completed a PhD in quantum computing at
the University of Western Australia.
</p>
</div>
</article>
<article
class="talk-card schedule-row pitch-card is-expanded"
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