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As organizations grow, they begin to prioritize process over product. That impedes real innovation. When organizations realize this, they typically respond in three ways: By hiring consultants to do a reorg (that’s “organizational theater”), adopt new processes such as hackathons to spur innovation (that’s “innovation theater”), or take steps to try to reform their bureaucratic behaviors (that’s “process theater”). Instead, what organizations need is an Innovation Doctrine that addresses culture, mindset, and process and guides the organization’s efforts to achieve real innovations.

Page-utils class=” article-utils—vertical hide-for-print” data-js-target=” page-utils” data-id=” tag: blogs.harvardbusiness.org, 2007/03/31:999.242633” data-title=” Why Companies Do “Innovation Theater” Instead of Actual Innovation” data-url=”/2019/10/why-companies-do-innovation-theater-instead-of-actual-innovation” data-topic=” Innovation” data-authors=” Steve Blank” data-content-type=” Digital Article” data-content-image=”/resources/images/article_assets/2019/10/Oct19_07_-513439309-383x215.jpg” data-summary=”

They put too much focus on process and not enough on product.

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In recent years, physicists have been trying to better understand how quantum information spreads in systems of interacting particles—a phenomenon often referred to as “scrambling.” Scrambling in closed systems, physical systems that can only exchange energy with degrees of freedom within the system, is a characteristic feature of chaotic many-body quantum dynamics.

In open systems, which can exchange both energy and matter with their surroundings, scrambling is influenced by various additional factors, including noise and errors. While the effects of these additional influences are well-documented, leading for example to decoherence, how they affect scrambling remains poorly understood.

Two researchers from the University of California Berkeley (UC Berkeley) and Harvard University recently introduced a new framework, published in Physical Review Letters, that provides a universal picture for how information scrambling occurs in open quantum systems. Their framework offers a particularly simple viewpoint on how to understand and model the propagation of errors in an open quantum system and might already help to explain some previously puzzling observations gathered in magnetic resonance experiments.